Log in

Relevant bibliographies by topics / Expansion of Pixels / Journal articles

To see the other types of publications on this topic, follow the link: Expansion of Pixels.

Journal articles on the topic 'Expansion of Pixels'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Expansion of Pixels.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Mukherjee, Subhadip, and Biswapati Jana. "A Novel Method for High Capacity Reversible Data Hiding Scheme Using Difference Expansion." International Journal of Natural Computing Research 8, no. 4 (2019): 13–27. http://dx.doi.org/10.4018/ijncr.2019100102.

Full text

Abstract:

Data hiding techniques are very significant in the research area of information security. In this article, the authors propose a new reversible data hiding (RDH) scheme using difference expansion. At first, the original image is partitioned into 3 × 3 pixel blocks, then marked Type-one and Type-two pixels based on their coordinate values. After that, the authors find correlated pixels by computing correlation coefficients and the median of Type-one pixels. Next, secret data bits are embedded within Type-two pixels based on correlated pixels and Type-one pixels based on the stego Type-two pixel

APA, Harvard, Vancouver, ISO, and other styles

2

Abdul Wahed, Md, and Hussain Nyeem. "Reversible data hiding with dual pixel-value-ordering and minimum prediction error expansion." PLOS ONE 17, no. 8 (2022): e0271507. http://dx.doi.org/10.1371/journal.pone.0271507.

Full text

Abstract:

Pixel Value Ordering (PVO) holds an impressive property for high fidelity Reversible Data Hiding (RDH). In this paper, we introduce a dual PVO (dPVO) for Prediction Error Expansion (PEE), and thereby develop a new RDH scheme to offer a better rate-distortion performance. Particularly, we propose to embed in two phases: forward and backward. In the forward phase, PVO with classic PEE is applied to every non-overlapping image block of size 1 × 3. In the backward phase, minimum-set and maximum-set of pixels are determined from the pixels predicted in the forward phase. The minimum set only contai

APA, Harvard, Vancouver, ISO, and other styles

3

Xiang, Hongyin, Jinsha Yuan, and Sizu Hou. "Hybrid Predictor and Field-Biased Context Pixel Selection Based on PPVO." Mathematical Problems in Engineering 2016 (2016): 1–16. http://dx.doi.org/10.1155/2016/2585983.

Full text

Abstract:

Most pixel-value-ordering (PVO) predictors generated prediction-errors including −1 and 1 in a block-by-block manner. Pixel-based PVO (PPVO) method provided a novel pixel scan strategy in a pixel-by-pixel way. Prediction-error bin 0 is expanded for embedding with the help of equalizing context pixels for prediction. In this paper, a PPVO-based hybrid predictor (HPPVO) is proposed as an extension. HPPVO predicts pixel in both positive and negative orientations. Assisted by expansion bins selection technique, this hybrid predictor presents an optimized prediction-error expansion strategy includi

APA, Harvard, Vancouver, ISO, and other styles

4

Yuan, Junying, Huicheng Zheng, and Jiangqun Ni. "Efficient Reversible Data Hiding Using Two-Dimensional Pixel Clustering." Electronics 12, no. 7 (2023): 1645. http://dx.doi.org/10.3390/electronics12071645.

Full text

Abstract:

Pixel clustering is a technique of content-adaptive data embedding in the area of high-performance reversible data hiding (RDH). Using pixel clustering, the pixels in a cover image can be classified into different groups based on a single factor, which is usually the local complexity. Since finer pixel clustering seems to improve the embedding performance, in this manuscript, we propose using two factors for two-dimensional pixel clustering to develop high-performance RDH. Firstly, in addition to the local complexity, a novel factor was designed as the second factor for pixel clustering. Speci

APA, Harvard, Vancouver, ISO, and other styles

5

Kong, Xiaoxi, Wenguang He, and Zhanchuan Cai. "A Novel High-Fidelity Reversible Data Hiding Method Based on Adaptive Multi-pass Embedding." Mathematics 13, no. 11 (2025): 1881. https://doi.org/10.3390/math13111881.

Full text

Abstract:

In reversible data hiding, prediction error generation plays a crucial role, with pixel value ordering (PVO) standing out as a prediction method that achieves high fidelity. However, conventional PVO approaches select predicted pixels and their predictions independently, failing to fully exploit the inherent redundancy in ordered pixel sequences. This paper proposes a novel PVO-based prediction method that leverages the continuity and spatial correlation of ordering pixels. We first introduce a new prediction technique that exploits the redundancy of consecutive pixels. Our approach selects th

APA, Harvard, Vancouver, ISO, and other styles

6

Zhou, Neng, Minqing Zhang, Han Wang, Mengmeng Liu, Yan Ke, and Xu An Wang. "Reversible Data Hiding Scheme in Homomorphic Encrypted Image Based on EC-EG." Applied Sciences 9, no. 14 (2019): 2910. http://dx.doi.org/10.3390/app9142910.

Full text

Abstract:

To combine homomorphic public key encryption with reversible data hiding, a reversible data hiding scheme in homomorphic encrypted image based on EC-EG is proposed. Firstly, the cover image is segmented. The square grid pixel group randomly selected by the image owner has one reference pixel and eight target pixels. The n least significant bits (LSBs) of the reference pixel and all bits of target pixel are self-embedded into other parts of the image by a method of predictive error expansion (PEE). To avoid overflowing when embedding data, the n LSBs of the reference pixel are reset to zero bef

APA, Harvard, Vancouver, ISO, and other styles

7

He, Wenguang, Gangqiang Xiong, and Yaomin Wang. "Reversible Data Hiding Based on Multiple Pairwise PEE and Two-Layer Embedding." Security and Communication Networks 2022 (January 31, 2022): 1–12. http://dx.doi.org/10.1155/2022/2051058.

Full text

Abstract:

Recent reversible data hiding (RDH) work tends to realize adaptive embedding by discriminately modifying pixels according to image content. However, further optimization and computational complexity remain great challenges. By presenting a better incorporation of pixel value ordering (PVO) prediction and pairwise prediction-error expansion (PEE) technologies, this paper proposes a new RDH scheme. The largest/smallest three pixels of each block are utilized to generate error-pairs. To achieve optimization of the distribution of error pairs, two-layer embedding is introduced such that full-enclo

APA, Harvard, Vancouver, ISO, and other styles

8

Hayashi, Shinji, and Osamu Hasegawa. "Robust Face Detection for Low-Resolution Images." Journal of Advanced Computational Intelligence and Intelligent Informatics 10, no. 1 (2006): 93–101. http://dx.doi.org/10.20965/jaciii.2006.p0093.

Full text

Abstract:

Face detection, one of the most actively researched and progressive computer vision fields, has been little studied in low-resolution images. Using the AdaBoost-based face detector and MIT+CMU frontal face test set – the standard detector and images for evaluation in face detection – we found that face detection rate falls to 39% from 88% as face resolution decreases from 24×24 pixels to 6×6 pixels. We discuss a proposal using “portrait images,” “image expansion,” “frequency-band limitation of features” and “two-detector integration” and show that 71% of face detection rate is obtained for 6×6

APA, Harvard, Vancouver, ISO, and other styles

9

Di, Fuqiang, Minqing Zhang, Yingnan Zhang, and Jia Liu. "Reversible Data Hiding for Encrypted Image Based on Interpolation Error Expansion." International Journal of Mobile Computing and Multimedia Communications 9, no. 4 (2018): 76–96. http://dx.doi.org/10.4018/ijmcmc.2018100105.

Full text

Abstract:

A novel reversible data hiding algorithm for encrypted image based on interpolation error expansion is proposed. The proposed method is an improved version of Shiu' s. His work does not make full use of the correlation of the neighbor pixels and some additional side information is needed. The proposed method adopts the interpolation prediction method to fully exploit the pixel correlation and employ the Paillier public key encryption method. The algorithm is reversible. In the proposed method, less side information is demanded. The experiment has verified the feasibility and effectiveness of t

APA, Harvard, Vancouver, ISO, and other styles

10

Manikandan, Vazhora Malayil, Nelapati Lava Prasad, and Masilamani Vedhanayagam. "Half Difference Expansion Based Reversible Data Hiding Scheme for Medical Image Forensics." Current Medical Imaging Formerly Current Medical Imaging Reviews 16, no. 4 (2020): 383–96. http://dx.doi.org/10.2174/1573405614666180903120018.

Full text

Abstract:

Background: Medical image authentication is an important area which attempts to establish ownership authentication and data authentication of medical images. Aims: In this paper, we propose a new reversible watermarking scheme based on a novel half difference expansion technique for medical image forensics. Methods: Conventional difference expansion based reversible watermarking scheme generates watermarked images with less visual quality, and the embedding rate was considerably less due to the high probability of overflow or underflow. In the proposed scheme, the quality of the watermarked im

APA, Harvard, Vancouver, ISO, and other styles

11

Hu, Xiaocheng, Weiming Zhang, and Nenghai Yu. "Optimizing Non-Local Pixel Predictors for Reversible Data Hiding." International Journal of Digital Crime and Forensics 6, no. 3 (2014): 1–15. http://dx.doi.org/10.4018/ijdcf.2014070101.

Full text

Abstract:

This paper presents a two-step clustering and optimizing pixel prediction method for reversible data hiding, which exploits self-similarities and group structural information of non-local image patches. Pixel predictors play an important role for current prediction-error expansion (PEE) based reversible data hiding schemes. Instead of using a fixed or a content- adaptive predictor for each pixel independently, the authors first employ pixel clustering according to the structural similarities of image patches, and then for all the pixels assigned to each cluster, an optimized pixel predictor is

APA, Harvard, Vancouver, ISO, and other styles

12

Singh, S., K. Jain, and A. Shukla. "GIS INTEGRATION OF LAND COVER WITH NIGHT-TIME LIGHTS FOR SPATIOTEMPORAL EVALUATION OF URBAN EXPANSION." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (December 13, 2023): 1561–68. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-1561-2023.

Full text

Abstract:

Abstract. Monitoring the urbanisation process requires accurate knowledge of the present and historical spatial extents of built-up area. Understanding the quantification of urban growth is a crucial component of urban and environmental planning. The current research is focussed on evaluating the spatiotemporal change evaluation of built-up area by using a combination Landsat 8 and NPP-VIIRS datasets with GIS integration. Firstly, spatial change analysis of the built-up area was done by employing the Land Use and Land Cover (LULC) classification methodology for the years 2014 and 2022. This wa

APA, Harvard, Vancouver, ISO, and other styles

13

Sandeau, Laure, Cassandre Vuillaume, Sylvain Contié, et al. "Large area CMOS bio-pixel array for compact high sensitive multiplex biosensing." Lab on a Chip 15, no. 3 (2015): 877–81. http://dx.doi.org/10.1039/c4lc01025f.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Lu, Jie, Zhiqin Cai, Sijie Cai, Bin Yao, and Binqiang Chen. "A Novel Engagement-Pixel Tracking Method for Meshing Clearance Layout of Twin-Screw Rotors." Mathematical Problems in Engineering 2019 (September 22, 2019): 1–12. http://dx.doi.org/10.1155/2019/6316538.

Full text

Abstract:

The performance of dry twin-screw compressors is primarily affected by the meshing clearance between a pair of meshing rotors. In this paper, a novel method for meshing clearance layout (MCL) is presented. The presented method is based on the engagement-pixel tracking (EPT) technique, which utilizes discrete-pixel curves generated by the two rotors. An algorithm for the proposed method is put forward. Firstly, when the profile of one rotor is known, the discrete point coordinates of the two rotor profiles and their thermal expansion profiles can be obtained. Secondly, the instantaneous contact

APA, Harvard, Vancouver, ISO, and other styles

15

Chiad, Baha T., Layth M. Karim, and Lana T. Ali. "Study the Radial Expansion of SN 1987A Using Counting Pixels Method." International Journal of Astronomy and Astrophysics 02, no. 04 (2012): 199–203. http://dx.doi.org/10.4236/ijaa.2012.24025.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Kumar, Manoj, and Smita Agrawal. "Reversible data hiding based on prediction error expansion using adjacent pixels." Security and Communication Networks 9, no. 16 (2016): 3703–12. http://dx.doi.org/10.1002/sec.1575.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

D, R. Somwanshi, and T. Humbe Vikas. "Half-Tone Visual Cryptography Scheme For RGB Color Images." Indian Journal of Science and Technology 16, no. 5 (2023): 357–66. https://doi.org/10.17485/IJST/v16i5.2038.

Full text

Abstract:

ABSTRACT <strong>Objectives:</strong> Currently used visual-cryptography methods which use binary and gray-level images have some shortcomings such as large pixel expansion, poor visual quality of the reconstructed image, etc. Further modifications in visualcryptography methods are required to provide error-free and better results. It has been observed that the use of color images is more convenient and accurate in approach. <strong>Method:</strong> This research study presents a new and optimal scheme for the visual-cryptography which is centered on RGB color images. Jarvis hal

APA, Harvard, Vancouver, ISO, and other styles

18

Mehbodniya, Abolfazl, Behnaz karimi Douraki, Julian L. Webber, et al. "Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm." Processes 10, no. 5 (2022): 858. http://dx.doi.org/10.3390/pr10050858.

Full text

Abstract:

Researchers have scrutinized data hiding schemes in recent years. Data hiding in standard images works well, but does not provide satisfactory results in distortion-sensitive medical, military, or forensic images. This is because placing data in an image can cause permanent distortion after data mining. Therefore, a reversible data hiding (RDH) technique is required. One of the well-known designs of RDH is the difference expansion (DE) method. In the DE-based RDH method, finding spaces that create less distortion in the marked image is a significant challenge, and has a high insertion capacity

APA, Harvard, Vancouver, ISO, and other styles

19

Zhai, Chengxing, Mike Shao, Renaud Goullioud, and Bijan Nemati. "Micro-pixel accuracy centroid displacement estimation and detector calibration." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 467, no. 2136 (2011): 3550–69. http://dx.doi.org/10.1098/rspa.2011.0255.

Full text

Abstract:

Conventional centroid estimation fits a template point spread function (PSF) to image data. Because the PSF is typically not known to high accuracy, systematic errors exist. Here, we present an accurate centroid displacement estimation algorithm by reconstructing the PSF from Nyquist-sampled images. In absence of inter-pixel response variations, this method can estimate centroid displacement between two 32×32 images to sub-micropixel accuracy. Inter-pixel response variations can be calibrated in Fourier space by using laser metrology. The inter-pixel variations of Fourier transforms of the pix

APA, Harvard, Vancouver, ISO, and other styles

20

Yu, Long, Lintao Liu, Zhe Xia, Xuehu Yan, and Yuliang Lu. "Lossless and Efficient Secret Image Sharing Based on Matrix Theory Modulo 256." Mathematics 8, no. 6 (2020): 1018. http://dx.doi.org/10.3390/math8061018.

Full text

Abstract:

Most of today’s secret image sharing (SIS) schemes are based on Shamir’s polynomial-based secret sharing (SS), which cannot recover pixels larger than 250. Many exiting methods of lossless recovery are not perfect, because several problems arise, such as large computational costs, pixel expansion and uneven pixel distribution of shadow image. In order to solve these problems and achieve perfect lossless recovery and efficiency, we propose a scheme based on matrix theory modulo 256, which satisfies ( k , k ) and ( k , k + 1 ) thresholds. Firstly, a sharing matrix is generated by the filter oper

APA, Harvard, Vancouver, ISO, and other styles

21

Hsu, Fu-Hau, Min-Hao Wu, Shiuh-Jeng Wang, and Chia-Ling Huang. "Reversibility of image with balanced fidelity and capacity upon pixels differencing expansion." Journal of Supercomputing 66, no. 2 (2013): 812–28. http://dx.doi.org/10.1007/s11227-013-0896-9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Liu, Heng, Lu Zhou, and Diwei Tang. "Urban Expansion Simulation Coupled with Residential Location Selection and Land Acquisition Bargaining: A Case Study of Wuhan Urban Development Zone, Central China’s Hubei Province." Sustainability 15, no. 1 (2022): 290. http://dx.doi.org/10.3390/su15010290.

Full text

Abstract:

The urban expansion process involves multiple stakeholders whose interactions and decision-making behaviors have a complex impact on urban land conversion. In this study, we established an urban expansion simulation model that couples two sub-models: the residential location selection model and the land acquisition bargaining model. Those sub-models include four types of agents: resident agent (RA), real estate developer agent (DA), government agent (GA), and farmer agent (FA). The residential location selection model is composed of three agents, RA, DA, and GA, and is first used to select res

APA, Harvard, Vancouver, ISO, and other styles

23

Rao, Kanusu Srinivasa, and Mandapati Sridhar. "A Tabu Search Algorithm for General Threshold Visual Cryptography Schemes." Ingénierie des systèmes d information 26, no. 3 (2021): 329–35. http://dx.doi.org/10.18280/isi.260310.

Full text

Abstract:

In Visual Cryptography Schemes (VCSs), for message n transparencies are generated, such that the original message is visible if any k of them are stacked. VCS especially for large values of k and n, the pixel expansion’s reduction and enhancement of the recovered images’ display quality continue to be critical issues. In addition to this, it is challenging to develop a practical and systematic approach to threshold VCSs. An optimization-based pixel-expansion-free threshold VCSs approach has been proposed for binary secret images’ encryption. Along with contrast, blackness is also treated as a

APA, Harvard, Vancouver, ISO, and other styles

24

Xiao, Shaozhang, Xingyuan Zuo, Zhengwei Zhang, and Fenfen Li. "Large-capacity reversible image watermarking based on improved DE." Mathematical Biosciences and Engineering 19, no. 2 (2021): 1108–27. http://dx.doi.org/10.3934/mbe.2022051.

Full text

Abstract:

<abstract> <p>Aiming at solving the problems of bad imperceptibility and low embedding rate of existing algorithms, a novel large-capacity reversible image watermarking based on improved difference expansion (DE) is proposed. Firstly, the smoothness calculation algorithm is used to calculate and sort the smoothness values of the divided image sub-blocks; then, the scrambled watermark is embedded into the sub-blocks with less smoothness after removing the abrupt point by using the generalized difference expansion (GDE); finally, the absolute difference operation is applied to the ge

APA, Harvard, Vancouver, ISO, and other styles

25

Rydzewski, Natalia. "Between Pixels and Predators: The Landscape Of Sexual Assault And Rape In The Metaverse." FIU Law Review 19, no. 2 (2025): 617–32. https://doi.org/10.25148/lawrev.19.2.14.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Song, Derui, Cheng Zhu, Jingzhe Tao, Xiaofei Shi, and Xianghai Wang. "DLRW: Dual-Link Weight Random Walk Model for Aquaculture Boundary Extraction by Single-Polarized SAR Imagery." Remote Sensing 15, no. 12 (2023): 3109. http://dx.doi.org/10.3390/rs15123109.

Full text

Abstract:

Coastal aquaculture is undertaken in shallow and usually sheltered waters along the coast, delineated by aquaculture ponds. Illegal usage of coastal aquaculture can lead to conflicts with local communities and environmental problems. Thus, it is necessary to extract the aquaculture boundary to monitor the expansion of coastal aquaculture to the sea. However, it is challenging for most existing algorithms to extract the aquaculture boundary for synthetic aperture radar (SAR) images under a high incident angle (>30 degree) with horizontal transmitted and received (HH) or vertical transmitted

APA, Harvard, Vancouver, ISO, and other styles

27

Panyindee, Chaiyaporn. "Infimum and Supremum of Thresholds for Reversible Data Hiding." Electronics 14, no. 5 (2025): 1017. https://doi.org/10.3390/electronics14051017.

Full text

Abstract:

Reversible data hiding typically relies on two main techniques: prediction-error expansion and histogram shifting. These techniques complement each other to facilitate effective data embedding by defining non-positive and non-negative thresholds, thereby reducing distortion. The goal is to minimize overflow and underflow pixels by constraining thresholds appropriately. Managing these pixels remains challenging as they must be mapped within the payload. While double modification testing can eliminate the location map for some images, it is highly complex and struggles with images near intensity

APA, Harvard, Vancouver, ISO, and other styles

28

Kong, Yongjun, Yan Ke, MinQing Zhang, TingTing Su, Yu Ge, and Sha Yang. "Reversible Data Hiding Based on Multichannel Difference Value Ordering for Color Images." Security and Communication Networks 2022 (August 4, 2022): 1–16. http://dx.doi.org/10.1155/2022/3864480.

Full text

Abstract:

Considering the correlation existing among different color channels of the image, we propose a novel reversible data hiding (RDH) scheme based on multichannel difference value ordering. By applying the technique of pixel value ordering (PVO), we establish a certain relationship by sorting the differences among adjacent pixels of different color channels. Combined with the optimized pairwise prediction-error expansion by analyzing the distribution of pixel difference, our scheme can adaptively select pixel channel to achieve reversible embedding of information. Through simulation experiments, t

APA, Harvard, Vancouver, ISO, and other styles

29

Kang, Mengjun, Yunlong Ma, Qingyun Du, and Min Weng. "An Improved GPU-Based Parallel Computing Method for Landscape Index Calculation in Urban Area." Photogrammetric Engineering & Remote Sensing 87, no. 2 (2021): 125–32. http://dx.doi.org/10.14358/pers.87.2.125.

Full text

Abstract:

With the development of urbanization in the world, dealing with the problems caused by urban expansion is becoming more and more important. The data that need to be processed in urbanization studies have increased with the improvement of the spatial and temporal resolution of remote sensing satellites, exerting considerable pressure on traditional software used for landscape index computation. In this article, an improved landscape index-computing algorithm is proposed. Based on CUDA, a pixel-group parallelization strategy is adopted to optimize the algorithm. The results show that the propose

APA, Harvard, Vancouver, ISO, and other styles

30

Oliveira, Bernard S. de, Manuel E. Ferreira, Alexandre C. Coutinho, and Júlio C. D. M. Esquerdo. "Phenological-metric algorithm for mapping soybean in savanna biome in Brazil." Australian Journal of Crop Science, no. 13(09):2019 (September 20, 2019): 1456–66. http://dx.doi.org/10.21475/ajcs.19.13.09.p1541.

Full text

Abstract:

Agricultural expansion in Brazil is still intense for commodities (such soybeans and corn), mostly cultivated over large portions of the Cerrado biome. Therefore, the development and application of techniques based on remote sensing to map crop areas at a regional level, in a dynamic and more precise way is urgently necessary. In this context, the objective of this study is the improvement of techniques for mapping soybean crops in Brazil, through an analysis of the Centro Goiano mesoregion of Goiás state (a core area of Cerrado), using a time series of Enhanced Vegetation Index (EVI) images p

APA, Harvard, Vancouver, ISO, and other styles

31

Wang, Yaming, Zhengheng Xu, Wenqing Huang, Yonghua Han, and Mingfeng Jiang. "Target Image Mask Correction Based on Skeleton Divergence." Algorithms 12, no. 12 (2019): 251. http://dx.doi.org/10.3390/a12120251.

Full text

Abstract:

Traditional approaches to modeling and processing discrete pixels are mainly based on image features or model optimization. These methods often result in excessive shrinkage or expansion of the restored pixel region, inhibiting accurate recovery of the target pixel region shape. This paper proposes a simultaneous source and mask-images optimization model based on skeleton divergence that overcomes these problems. In the proposed model, first, the edge of the entire discrete pixel region is extracted through bilateral filtering. Then, edge information and Delaunay triangulation are used to opti

APA, Harvard, Vancouver, ISO, and other styles

32

Juan, Justie Su-Tzu, Jen-Yu Lin, Bo-Yuan Huang, and Yu-Chun Chung. "Advanced fault-tolerant visual multi-secret sharing scheme." Journal of Surveillance, Security and Safety 3 (2022): 41–54. http://dx.doi.org/10.20517/jsss.2021.29.

Full text

Abstract:

Aim: In visual cryptography, a secret image is encrypted into two meaningless random images called shares. These two shares can be stacked to recover the secret image without any calculations. However, because of the alignment problem in the decryption phase, risk of poor quality of the restored image exists. Encrypting multiple secrets on two images simultaneously can improve execution efficiency. Methods: Let 7 × 7 pixels be a unit; this paper designs a codebook for any unit in the secret images by using a random grid. Besides, this paper shows a general shifting approach that can embed N (≥

APA, Harvard, Vancouver, ISO, and other styles

33

Aswad, Firas Mohammed, Ihsan Salman, and Salama A. Mostafa. "An optimization of color halftone visual cryptography scheme based on Bat algorithm." Journal of Intelligent Systems 30, no. 1 (2021): 816–35. http://dx.doi.org/10.1515/jisys-2021-0042.

Full text

Abstract:

Abstract Visual cryptography is a cryptographic technique that allows visual information to be encrypted so that the human optical system can perform the decryption without any cryptographic computation. The halftone visual cryptography scheme (HVCS) is a type of visual cryptography (VC) that encodes the secret image into halftone images to produce secure and meaningful shares. However, the HVC scheme has many unsolved problems, such as pixel expansion, low contrast, cross-interference problem, and difficulty in managing share images. This article aims to enhance the visual quality and avoid t

APA, Harvard, Vancouver, ISO, and other styles

34

Choi, J., H. Dharmarajan, J. Yu, et al. "Diagnostic flexible versus rigid bronchoscopy for the assessment of tracheomalacia in children." Journal of Laryngology & Otology 132, no. 12 (2018): 1083–87. http://dx.doi.org/10.1017/s0022215118002050.

Full text

Abstract:

AbstractObjectiveThis project compares the degree of tracheal collapse determined by rigid and flexible bronchoscopy in paediatric patients with tracheomalacia.MethodsA total of nine patients with tracheomalacia underwent both rigid and flexible video bronchoscopy. All patients were breathing spontaneously. Cross-sectional images of the airway were processed using the ImageJ program and analysed via colour histogram mode technique in order to delineate the luminal area. Paired t-tests (conducted using Stata software version 13.0) quantified differences between rigid and flexible bronchoscopes

APA, Harvard, Vancouver, ISO, and other styles

35

CHEN, HENG-XIN, Y. Y. TANG, BIN FANG, and PATRICK S. P. WANG. "A MULTI-LAYER CONTRAST ANALYSIS METHOD FOR TEXTURE CLASSIFICATION BASED ON LBP." International Journal of Pattern Recognition and Artificial Intelligence 25, no. 01 (2011): 147–55. http://dx.doi.org/10.1142/s0218001411008518.

Full text

Abstract:

Texture classification is one of the important fields in pattern recognition and machine vision research. LBP method,13–15 proposed by Ojala, can be used to classify texture images effectively. And the LBP method has rotation-invariant, illumination-invariant, multi-resolution characteristics. But, since the contrast is not considered between neighbor pixels, the correct classification rate produced by this method has been remarkably influenced by light source type and light source orientation. The LMLCP (Local Multiple Layer Contrast Pattern) method, proposed by this paper, maps the contrast

APA, Harvard, Vancouver, ISO, and other styles

36

Rajendra V. Patil, Et al. "Edge Information based Seed Placement Guidance to Single Seeded Region Growing Algorithm." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 4003–8. http://dx.doi.org/10.17762/ijritcc.v11i9.9760.

Full text

Abstract:

The split of the picture into regions that represent various items or parts of an object has been referred to as image segmentation. An image is split with the objective of studying each object and getting some higher-level information. A wide range segmentation approaches are either region-based or edge-based. By using likeness criteria among candidate sets of pixels, the region-based division split an image into distinct regions of related pixels. The choice of the starting seed points is the primary challenge for this algorithm in order to achieve attractive image subdivision. The region ex

APA, Harvard, Vancouver, ISO, and other styles

37

Hung, Chih-Chieh, Chuang-Chieh Lin, Hsien-Chu Wu, and Chia-Wei Lin. "A Study on Reversible Data Hiding Technique Based on Three-Dimensional Prediction-Error Histogram Modification and a Multilayer Perceptron." Applied Sciences 12, no. 5 (2022): 2502. http://dx.doi.org/10.3390/app12052502.

Full text

Abstract:

In the past few years, with the development of information technology and the focus on information security, many studies have gradually been aimed at data hiding technology. The embedding and extraction algorithms are mainly used by the technology to hide the data that requires secret transmission into a multimedia carrier so that the data transmission cannot be realized to achieve secure communication. Among them, reversible data hiding (RDH) is a technology for the applications that demand the secret data extraction as well as the original carrier recovery without distortion, such as remote

APA, Harvard, Vancouver, ISO, and other styles

38

Tang, Xiying, Yaoping Cui, Nan Li, et al. "Human Activities Enhance Radiation Forcing through Surface Albedo Associated with Vegetation in Beijing." Remote Sensing 12, no. 5 (2020): 837. http://dx.doi.org/10.3390/rs12050837.

Full text

Abstract:

The impact of human activities on vegetation has been the focus of much research, but the impact on radiation energy through surface albedo associated with vegetation greenness and length of the growth season is still not well documented. Based on the land cover data for the years 2000 and 2015, this study first divided the land cover change in Beijing from 2000 to 2015 into five types according to the impact of human activities and vegetation resilience, namely, old urban areas (OU), urban expansion areas (UE), cropland (CP), mixed pixel areas (MP, which means the land covers other than urban

APA, Harvard, Vancouver, ISO, and other styles

39

Popa, Cristina-Elena, Constantin-Cristian Damian, and Daniela Coltuc. "Joint Data Hiding and Partial Encryption of Compressive Sensed Streams." Information 16, no. 7 (2025): 513. https://doi.org/10.3390/info16070513.

Full text

Abstract:

This paper proposes a method to secure Compressive Sensing (CS) streams. It involves protecting part of the measurements with a secret key and inserting code into the remaining measurements. The secret key is generated via a cryptographically secure pseudorandom number generator (CSPRNG) and XORed with the measurements to be inserted. For insertion, we use a reversible data hiding (RDH) scheme, which is a prediction error expansion algorithm modified to match the statistics of CS measurements. The reconstruction from the embedded stream results in a visibly distorted image. The image distortio

APA, Harvard, Vancouver, ISO, and other styles

40

Deng, Fuliang, Xinqin Peng, Jiale Cai, et al. "Assessing the Consistency of Five Remote Sensing-Based Land Cover Products for Monitoring Cropland Changes in China." Remote Sensing 16, no. 23 (2024): 4498. https://doi.org/10.3390/rs16234498.

Full text

Abstract:

The accuracy assessment of cropland products is a critical prerequisite for agricultural planning and food security evaluations. Current accuracy assessments of remote sensing-based cropland products focused on the consistency of spatial patterns for specific years, yet the reliability of these cropland products in time-series analysis remains unclear. Using cropland area data from the second and third national land surveys of China (referred to as NLSCD) as a benchmark, we evaluate the area-based and spatial-based consistency of cropland changes in five 30 m time-series land cover products co

APA, Harvard, Vancouver, ISO, and other styles

41

Yadav, Brijesh, Lal Chand Malav, Shruti V. Singh, et al. "Spatiotemporal Responses of Vegetation to Hydroclimatic Factors over Arid and Semi-arid Climate." Sustainability 15, no. 21 (2023): 15191. http://dx.doi.org/10.3390/su152115191.

Full text

Abstract:

Understanding the dynamics of vegetative greenness and how it interacts with various hydroclimatic factors is crucial for comprehending the implications of global climate change. The present study utilized the MODIS-derived normalized difference vegetation index (NDVI) to understand the vegetation patterns over 21 years (2001–2021) in Rajasthan, India. The rainfall, land surface temperature (LST), and evapotranspiration (ET) were also analyzed. The changes, at a 30 m pixel resolution, were evaluated using Mann–Kendall’s trend test. The results reveal that the NDVI, ET, and rainfall had increas

APA, Harvard, Vancouver, ISO, and other styles

42

Tanner, Kaylee Brook, Anna Catherine Cardall, and Gustavious Paul Williams. "A Spatial Long-Term Trend Analysis of Estimated Chlorophyll-a Concentrations in Utah Lake Using Earth Observation Data." Remote Sensing 14, no. 15 (2022): 3664. http://dx.doi.org/10.3390/rs14153664.

Full text

Abstract:

We analyzed chlorophyll-a (chl-a) concentrations in shallow, turbid Utah Lake using Landsat data from 1984 to 2021. Utah Lake is ~40 km by 21 km, has a surface area of ~390 km2, an average depth of ~3 m, and loses ~50% of inflow to evaporation. This limits spatial mixing, allowing us to evaluate impacts on smaller lake regions. We evaluated long-term trends at the pixel level and for areas related to boundary conditions. We created 17 study areas based on differences in shoreline development and nutrient inflows. We expected impacted areas to exhibit increasing chl-a trends, as population grow

APA, Harvard, Vancouver, ISO, and other styles

43

Lo, Chen-Chou, and Patrick Vandewalle. "Expanding Sparse Radar Depth Based on Joint Bilateral Filter for Radar-Guided Monocular Depth Estimation." Sensors 24, no. 6 (2024): 1864. http://dx.doi.org/10.3390/s24061864.

Full text

Abstract:

Radar data can provide additional depth information for monocular depth estimation. It provides a cost-effective solution and is robust in various weather conditions, particularly when compared with lidar. Given the sparse and limited vertical field of view of radar signals, existing methods employ either a vertical extension of radar points or the training of a preprocessing neural network to extend sparse radar points under lidar supervision. In this work, we present a novel radar expansion technique inspired by the joint bilateral filter, tailored for radar-guided monocular depth estimation

APA, Harvard, Vancouver, ISO, and other styles

44

Xu, Gang, Biao Leng, and Zhang Xiong. "ImVoxelGNet: Image to voxels geometry-aware projection for multi-view RGB-based 3D object detection." PLOS One 20, no. 5 (2025): e0320589. https://doi.org/10.1371/journal.pone.0320589.

Full text

Abstract:

3D object detection based solely on image data presents a significant challenge in computer vision, primarily due to the need to integrate geometric perception processes derived from visual inputs. The key to overcoming this challenge lies in effectively capturing the geometric relationships across multiple viewpoints, thereby establishing strong geometric priors. Current methods commonly back-project voxels onto images to align voxel-pixel features, yet during this process, pixel features are insufficiently involved in learning, leading to a decrease in geometric perception accuracy and, cons

APA, Harvard, Vancouver, ISO, and other styles

45

Sahane, Prema Bhushan, Gayathri M., Snehal Akshay Bagal, et al. "Beyond pixels and ciphers: Navigating the advancements and challenges in visual cryptography." Journal of Autonomous Intelligence 7, no. 5 (2024): 1525. http://dx.doi.org/10.32629/jai.v7i5.1525.

Full text

Abstract:

<p>Visual cryptography (VC) has emerged as a pivotal solution for secure information transmission, leveraging its unique capability to encrypt images in a user-friendly and accessible manner. This survey paper provides an in-depth analysis of various VC methods, highlighting their distinct encryption and decryption techniques, applicability, and security levels. The study delves into the technical specifications of each VC type, offering insights into secret image formats, the number of secret images used, types of shares, pixel expansion, and complexity. Significant attention is given t

APA, Harvard, Vancouver, ISO, and other styles

46

Xie, Zhuli, Gang Wan, Yunxia Yin, Guangde Sun, and Dongdong Bu. "SDDGRNets: Level–Level Semantically Decomposed Dynamic Graph Reasoning Network for Remote Sensing Semantic Change Detection." Remote Sensing 17, no. 15 (2025): 2641. https://doi.org/10.3390/rs17152641.

Full text

Abstract:

Semantic change detection technology based on remote sensing data holds significant importance for urban and rural planning decisions and the monitoring of ground objects. However, simple convolutional networks are limited by the receptive field, cannot fully capture detailed semantic information, and cannot effectively perceive subtle changes and constrain edge information. Therefore, a dynamic graph reasoning network with layer-by-layer semantic decomposition for semantic change detection in remote sensing data is developed in response to these limitations. This network aims to understand an

APA, Harvard, Vancouver, ISO, and other styles

47

Hamad Khaleefah, Shihab, Salama A. Mostafa, Aida Mustapha, and Mohammad Faidzul Nasrudin. "Review of local binary pattern operators in image feature extraction." Indonesian Journal of Electrical Engineering and Computer Science 19, no. 1 (2020): 23. http://dx.doi.org/10.11591/ijeecs.v19.i1.pp23-31.

Full text

Abstract:

<span>With the substantial expansion of image information, image processing and computer vision have significant roles in several applications, including image classification, image segmentation, pattern recognition, and image retrieval. An important feature that has been applied in many image applications is texture. Texture is the characteristic of a set of pixels that form an image. Therefore, analyzing texture has a significant impact on segmenting an image or detecting important portions of an image. This paper provides a review on LBP and its modifications. The aim of this review i

APA, Harvard, Vancouver, ISO, and other styles

48

Kripa, Biju* Rekha K.S. "DIGITAL IMAGE PROTECTION AND SELF-RECOVERY USING WATERMARK ALGORITHM." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 5 (2017): 143–49. https://doi.org/10.5281/zenodo.571749.

Full text

Abstract:

Expansion of the Internet has increased the availability of digital data such as audio, images and videos to the public. Watermarking is a method for inserting the watermark information into an image, which is to be later used for inventing tampered region and recovering the lost data in the tampered zone. The main reason for developing digital watermarking research is to protect intellectual properties of the digital world. Watermarking techniques may divide on the basis of domain like spatial domain or transform domain or on the basis of wavelets. The spatial domain techniques work on the pi

APA, Harvard, Vancouver, ISO, and other styles

49

Shihab, Hamad Khaleefah, A. Mostafa Salama, Mustapha Aida, and Faidzul Nasrudin Mohammad. "Review of local binary pattern operators in image feature extraction." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 19, no. 1 (2020): 23–31. https://doi.org/10.11591/ijeecs.v19.i1.pp23-31.

Full text

Abstract:

With the substantial expansion of image information, image processing and computer vision have significant roles in several applications, including image classification, image segmentation, pattern recognition, and image retrieval. An important feature that has been applied in many image applications is texture. Texture is the characteristic of a set of pixels that form an image. Therefore, analyzing texture has a significant impact on segmenting an image or detecting important portions of an image. This paper provides a review on LBP and its modifications. The aim of this review is to show th

APA, Harvard, Vancouver, ISO, and other styles

50

Prabowo, Hendro Eko, and Tohari Ahmad. "Peningkatan Kualitas Citra Stego pada Adaptive Pixel Block Grouping Reduction Error Expansion dengan Variasi Model Scanning pada Pembentukan Kelompok Piksel." Jurnal Teknologi Informasi dan Ilmu Komputer 5, no. 2 (2018): 185. http://dx.doi.org/10.25126/jtiik.201852633.

Full text

Abstract:

<p class="Abstrak">ebutuhan komunikasi yang terus bertambah dan ditandai dengan meningkatnya jumlah <em>IP traffic</em> dari 744 EB menjadi 1.164 EB menjadikan keamanan sebagai salah satu kebutuhan utama dalam menjaga kerahasiaan data. <em>Adaptive Pixel Block Grouping Reduction Error Expansion (APBG-REE)</em> sebagai salah satu metode data hiding dapat diterapkan untuk memenuhi kebutuhan tersebut. Metode ini akan membagi citra carrier menjadi blok-blok dan membentuknya menjadi kelompok-kelompok piksel. Hasil dari proses ini akan dimanfaatkan untuk menyembunyikan

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!