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Journal articles on the topic 'JPEG2000 Compression standard'

Author: Grafiati

Published: 3 June 2025

Last updated: 20 July 2025

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1

BALSTER, ERIC J., BENJAMIN T. FORTENER, and WILLIAM F. TURRI. "POST-COMPRESSION RATE-DISTORTION DEVELOPMENT FOR EMBEDDED BLOCK CODING WITH OPTIMAL TRUNCATION IN JPEG2000 IMAGERY." International Journal of Image and Graphics 11, no. 04 (2011): 611–27. http://dx.doi.org/10.1142/s0219467811004238.

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This paper presents a development of the post-compression rate-distortion optimization (PCRD-opt) algorithm in JPEG2000 used for optimal truncation (OT) rate control. The proposed treatment of PCRD-opt differs from the treatment given in the JPEG2000 standard and what is given in a number of publications. The proposed algorithm is implemented in a complete JPEG2000 compression engine as well as the algorithm published in the JPEG2000 standard. The proposed algorithm gives a substantial performance gain, outperforming the implementation given in the standard by 0.25–1 dB in PSNR on average, dem

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Zhang, Lu. "The Design of Static Image Compression System." Advanced Materials Research 1042 (October 2014): 150–53. http://dx.doi.org/10.4028/www.scientific.net/amr.1042.150.

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In this paper, a static image compression system based on DSP is introduced. The compression standard of this system is JPEG2000 that is the new image compression standard by ISO. First, the basic algorithm and key technologic of JPEG2000 are explained. Then, the realization method of the static image compression system based on JPEG2000 image coding is analyzed. Finally, the hardware of this system which is based on DSP is described. And by the verification of the system, very good static image compression effect can be get from this system.

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Ren, Ke Qiang, and Hai Ying Jiang. "Application Research of Kakadu System Based on JPEG2000." Advanced Materials Research 403-408 (November 2011): 1933–36. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.1933.

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JPEG2000 is a new compressed standard of static image, Kakadu is a open source system which can be higher efficiency to realize the algorithm of JPEG2000. This article introduces the codec construction and the compressed stream structure in JPEG2000, analyzes the construction of Kakadu and image compression class in Kakadu, and then carries on application experiments based on JPEG2000 in Kakadu 2.2 platform. Experiments show that the compression of interest image region has higher transfer rate and lower memory compared with the original image, and JPEG2000 has higher compression rate and bett

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Basit, M. A., and G. Raja. "PERFORMANCE EVALUATION OF EMERGING JPEGXR COMPRESSION STANDARD FOR MEDICAL IMAGES." Nucleus 49, no. 1 (2012): 11–19. https://doi.org/10.71330/thenucleus.2012.810.

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Medical images require lossless compression as a small error due to lossy compression may be considered as a diagnostic error. JPEG XR is the latest image compression standard designed for variety of applications and has a support for lossy and lossless modes. This paper provides in-depth performance evaluation of latest JPEGXR with existing image coding standards for medical images using lossless compression. Various medical images are used for evaluation and ten images of each organ are tested. Performance of JPEGXR is compared with JPEG2000 and JPEGLS using mean square error, peak signal to

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Skodras, A. N., C. A. Christopoulos, and T. Ebrahimi. "JPEG2000: The upcoming still image compression standard." Pattern Recognition Letters 22, no. 12 (2001): 1337–45. http://dx.doi.org/10.1016/s0167-8655(01)00079-4.

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Dinu, Dragan, and Dragan Ivetic. "Architectures of DICOM based PACS for JPEG2000 medical image streaming." Computer Science and Information Systems 6, no. 1 (2009): 185–203. http://dx.doi.org/10.2298/csis0901185d.

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Delivering of medical image content to mobile/embedded devices with low storage and processing capabilities and low resolution displays is a challenging, but important task for achieving ubiquitous computing in modern hospital environments. The common approaches in industry and technical literature employ JPEG2000 compression and image streaming. Beside image compression, JPEG2000 facilitates image streaming. Different sized images are extracted from one codestream with minimal spatial distortion within decompressed image. We developed DICOM2000 syntax which enables JPEG2000 streaming over DIC

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Ghodhbani, Refka, Taoufik Saidani, Layla Horrigue, Asaad M. Algarni, and Muteb Alshammari. "An FPGA Accelerator for Real Time Hyperspectral Images Compression based on JPEG2000 Standard." Engineering, Technology & Applied Science Research 14, no. 2 (2024): 13118–23. http://dx.doi.org/10.48084/etasr.6853.

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Lossless hyperspectral images have the advantage of reducing the data size, hence saving on storage and transmission costs. This study presents a dynamic pipeline hardware design for compressing and decompressing images using the Joint Photographic Experts Group-Lossless (JPEG2000) algorithm. The proposed architecture was specifically tailored for implementation on a Field Programmable Gate Array (FPGA) to accomplish efficient image processing. The introduction of a pipeline pause mechanism effectively resolves the issue of coding errors deriving from parameter modifications. Bit-plane coding

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Wang, Wei Ling. "JPEG2000 Image Compression Method Based on GPGPU." Advanced Materials Research 756-759 (September 2013): 1314–19. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1314.

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In order to improve the compression speed of JPEG2000, the JPEG2000 compression standard is analysised and it concluded that the part data of the core algorithm that is DWT in JPEG2000 are independent from each other, so it is very suitable for parallel processing. CUDA (Compute Unified Device Architecture) is a latest software and hardware exploitation platform released by NVIDIA which is very suitable for large-scale data parallel computing.Using CUDA technology on general purpose graphic process unit (GPGPU) could speed up DWT algorithm parallelly and the program is optimized based on the c

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Al-Fayadh, Ali Hassan, Hind Rostom Mohammed, and Raghad Sahib Al-shimsah. "Gabor Wavelet Transform in Image Compression." Journal of Kufa for Mathematics and Computer 1, no. 6 (2012): 107–13. https://doi.org/10.31642/jokmc/2018/010613.

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In the present paper, an important mathematical transform which is called Gabor transform be used to develop a method for image compression. Gabor transform is a type of wavelet-based transform. It is embedded in the standard compression algorithm (JPEG2000) as a mother wavelet. Based on the obtained results we believe that Gabor wavelet transform can provide the optimal resolution in both the time and frequency domains, as well as it seems to be the optimal basis to extract local features such as discontinuities. These advantages of Gabor wavelet transform make it an efficient transform for c

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Medouakh, S., and Z. E. Baarir. "Study of the Standard JPEG2000 in Image Compression." International Journal of Computer Applications 18, no. 1 (2011): 27–33. http://dx.doi.org/10.5120/2247-2877.

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Arizanovic, Boban, and Vladan Vuckovic. "Efficient image compression and decompression algorithms for OCR systems." Facta universitatis - series: Electronics and Energetics 31, no. 3 (2018): 461–85. http://dx.doi.org/10.2298/fuee1803461a.

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This paper presents an efficient new image compression and decompression methods for document images, intended for usage in the pre-processing stage of an OCR system designed for needs of the ?Nikola Tesla Museum? in Belgrade. Proposed image compression methods exploit the Run-Length Encoding (RLE) algorithm and an algorithm based on document character contour extraction, while an iterative scanline fill algorithm is used for image decompression. Image compression and decompression methods are compared with JBIG2 and JPEG2000 image compression standards. Segmentation accuracy results for groun

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MukeshbhaiKamalakannan J, Kansagra Deep. "Optimization Through Visual Enhancement of Compression Algorithm for Image in JPEG2000 Standard." Indian Journal of Applied Research 4, no. 8 (2011): 191–94. http://dx.doi.org/10.15373/2249555x/august2014/53.

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Mammeri, Abdelhamid, Brahim Hadjou, and Ahmed Khoumsi. "A Survey of Image Compression Algorithms for Visual Sensor Networks." ISRN Sensor Networks 2012 (November 28, 2012): 1–19. http://dx.doi.org/10.5402/2012/760320.

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With the advent of visual sensor networks (VSNs), energy-aware compression algorithms have gained wide attention. That is, new strategies and mechanisms for power-efficient image compression algorithms are developed, since the application of the conventional methods is not always energy beneficial. In this paper, we provide a survey of image compression algorithms for visual sensor networks, ranging from the conventional standards such as JPEG and JPEG2000 to a new compression method, for example, compressive sensing. We provide the advantages and shortcomings of the application of these algor

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Ko, Hyung-Hwa. "Enhanced Binary MQ Arithmetic Coder with Look-Up Table." Information 12, no. 4 (2021): 143. http://dx.doi.org/10.3390/info12040143.

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Binary MQ arithmetic coding is widely used as a basic entropy coder in multimedia coding system. MQ coder esteems high in compression efficiency to be used in JBIG2 and JPEG2000. The importance of arithmetic coding is increasing after it is adopted as a unique entropy coder in HEVC standard. In the binary MQ coder, arithmetic approximation without multiplication is used in the process of recursive subdivision of range interval. Because of the MPS/LPS exchange activity that happens in the MQ coder, the output byte tends to increase. This paper proposes an enhanced binary MQ arithmetic coder to

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JACOB, THEJU, K. R. RAO, and DO NYEON KIM. "IMAGE MIRRORING AND ROTATION IN THE WAVELET DOMAIN." International Journal of Wavelets, Multiresolution and Information Processing 08, no. 01 (2010): 61–69. http://dx.doi.org/10.1142/s0219691310003389.

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JPEG2000, the international standard for still image compression, uses wavelet transform. The filters used by JPEG2000 for transformation are the 9/7 Daubechies filter and the 5/3 Le Gall filter. In this paper, we present a method for image mirroring and rotation in the wavelet domain, by manipulating the transformation coefficients. Our technique requires no additional complexity and the perfect reconstruction property is preserved.

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Zhang, Hui, Yan Nan Zhai, Yan Kun Tang, Jing Liu, and Kun Yang. "Real-Time Compression and Storage of “Non-Interest” Image." Applied Mechanics and Materials 347-350 (August 2013): 3614–18. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.3614.

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This paper studies the real-time compression and storage technology,extraction and collection contains that Images,Image compression standard,Image storage.The paper use JPEG2000 compression standard.Image via IDE interface to hard disk storage.The results show that non-interest areaimage compression and srorage can remove redundant;reduce the amount of data transfer and increase the transmission speed.

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Tian, Hua, Ming Jun Li, and Huan Huan Liu. "Research and Exploration on Static Image Compression Technology Based on JPEG2000." Applied Mechanics and Materials 644-650 (September 2014): 4182–86. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.4182.

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This article introduces GPU-accelerated image processing parallel computing technology into standard core coding system of JPEG2000 static image compression and accelerates and designs the image compression process using CUDA acceleration principle. It also establishes the algorithm of image pixel array layered and reconstruction coding and realizes the coding of this algorithm using VC software. In order to verify the effectiveness and universal applicability of the algorithm and procedures, this paper compresses four images of different sizes and pixels in the static form of the JPEG2000. Th

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Li, Guo Ning, Yan Yan Liu, Shuang Li Han, and Long Xu Jin. "Design of the JPEG2000 Compression System Based on ADV212." Applied Mechanics and Materials 602-605 (August 2014): 2761–64. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.2761.

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This article in detail on the basis of the algorithm of JPEG2000 standard upon, is put forward based on the FPGA embedded processor MicroBlaze and ADV212 compression chip with the combination of high speed, real time image compression scheme. Experiments show that the scheme can realize the data rate of 520 Mbps largest real-time compression of image data, when the image compression ratio is 53:1, reconstruction image PSNR value can reach 36 dB.

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YANG, GUOAN, and NANNING ZHENG. "AN OPTIMIZATION ALGORITHM FOR BIORTHOGONAL WAVELET FILTER BANKS DESIGN." International Journal of Wavelets, Multiresolution and Information Processing 06, no. 01 (2008): 51–63. http://dx.doi.org/10.1142/s0219691308002215.

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A new approach for designing the Biorthogonal Wavelet Filter Bank (BWFB) for the purpose of image compression is presented in this paper. The approach is broken into two steps. First, an optimal filter bank is designed in the theoretical sense, based on Vaidyanathan's coding gain criterion in the SubBand Coding (SBC) system. Then, the above filter bank is optimized based on the criterion of Peak Signal-to-Noise Ratio (PSNR) in the JPEG2000 image compression system, resulting in a BWFB in practical application sense. With the approach, a series of BWFBs for a specific class of applications rela

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TSAI, TSUNG-HAN, and LIAN-TSUNG TSAI. "AN EFFICIENT DESIGN FOR MOTION-JPEG2000 SYSTEM IN REAL-TIME VIDEO ENCODING." Journal of Circuits, Systems and Computers 17, no. 04 (2008): 597–610. http://dx.doi.org/10.1142/s0218126608004563.

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Motion-JPEG2000 is derived from Part 1 of the JPEG2000 standard and provides high quality image compression in video coding system. This paper presents a real-time Motion-JPEG2000 encoding which is built on a fixed-point digital signal processor (DSP) as a single-chip implementation. The design addresses on the system-level design considerations. Among several modules in JPEG2000, Embedded Block Coding with Optimized Truncation (EBCOT) algorithm contains the highest computation complexity and also becomes the bottleneck of JPEG2000. Two speed-improved methods are proposed to significantly redu

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Saad, Saad, and Tawfiq A. AL AL-Assadi. "Deep Learning-Based model for Medical Image Compression." Journal of Intelligent Systems and Internet of Things 13, no. 2 (2024): 192–201. http://dx.doi.org/10.54216/jisiot.130215.

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Efficient compression algorithms are required to handle the growing amount of medical picture data, ensuring that storage and transmission requirements are met without compromising diagnostic quality. This research presents a hybrid image compression framework that integrates deep learning alongside standard lossless compression techniques. A convolutional autoencoder (CAE) learns a compact representation of medical images, which are subsequently compressed using the Brotli algorithm. Our technique beats conventional approaches, like JPEG, JPEG2000, and wavelet-based ones, according to an anal

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Zhou, Yun. "A Video Compression Method for Wireless Transmission." Advanced Materials Research 532-533 (June 2012): 1167–71. http://dx.doi.org/10.4028/www.scientific.net/amr.532-533.1167.

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With the ever-increasing expansion of wireless voice and data plan demands, bandwidth constrained wireless channels intervened with mobility issues lay out a great challenge in the hardware configuration, software development and algorithm design of communication systems. This paper presents our work on a modular and standards-independent DSP-based testbed designed for real-time video communication over low-bandwidth channels. In particular, the real-time transmission of MPEG-4 video and JPEG2000 still images over the Bluetooth wireless standard is demonstrated here. The testbed was designed t

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Jha, Mithilesh Kumar, Brejesh Lall, and Sumantra Dutta Roy. "Statistically Matched Wavelet Based Texture Synthesis in a Compressive Sensing Framework." ISRN Signal Processing 2014 (February 17, 2014): 1–18. http://dx.doi.org/10.1155/2014/838315.

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This paper proposes a statistically matched wavelet based textured image coding scheme for efficient representation of texture data in a compressive sensing (CS) frame work. Statistically matched wavelet based data representation causes most of the captured energy to be concentrated in the approximation subspace, while very little information remains in the detail subspace. We encode not the full-resolution statistically matched wavelet subband coefficients but only the approximation subband coefficients (LL) using standard image compression scheme like JPEG2000. The detail subband coefficient

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Ponomarev, Vladimir Il'ich, J. L. Sanchez-Ramirez, and C. Juarez-Landin. "Evaluation and Optimization of the Standard JPEG2000 for Compression of Ultrasound Images." Telecommunications and Radio Engineering 65, no. 11 (2006): 1029–41. http://dx.doi.org/10.1615/telecomradeng.v65.i11.60.

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OH, TICK HUI, and ROSLI BESAR. "JPEG2000 AND JPEG: A STATISTICAL APPROACH FOR LOSSILY COMPRESSED MEDICAL IMAGES QUALITY EVALUATION." International Journal of Wavelets, Multiresolution and Information Processing 02, no. 03 (2004): 249–67. http://dx.doi.org/10.1142/s0219691304000500.

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Image compression will always reduce the image fidelity, especially when the image is compressed at lower bit rates, which cannot be tolerated, especially in medical field. But compression is necessary due to the constraint of transmission bandwidth and the limited storage capacity. In this paper, the bad compression performance of the new JPEG2000 and the more conventional JPEG are studied. Besides, using the common objective measures such as Peak Signal-to-Noise Ratio (PSNR) and Root Mean Square Error (RMSE) as the standard quality measurements, we focus more on the statistical and frequency

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Urbaniak, Ilona Anna. "Using Compressed JPEG and JPEG2000 Medical Images in Deep Learning: A Review." Applied Sciences 14, no. 22 (2024): 10524. http://dx.doi.org/10.3390/app142210524.

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Machine Learning (ML), particularly Deep Learning (DL), has become increasingly integral to medical imaging, significantly enhancing diagnostic processes and treatment planning. By leveraging extensive datasets and advanced algorithms, ML models can analyze medical images with exceptional precision. However, their effectiveness depends on large datasets, which require extended training times for accurate predictions. With the rapid increase in data volume due to advancements in medical imaging technology, managing the data has become increasingly challenging. Consequently, irreversible compres

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Abdelrahim, Mohamed M. Hosny. "STUDY & ANALYSIS ON USING JPEG2000 COMPRESSION STANDARD WITH HIGH RESOLUTION GEOSPATLAL IMAGERY PRODUCTS." ERJ. Engineering Research Journal 30, no. 3 (2007): 353–63. http://dx.doi.org/10.21608/erjm.2007.70078.

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SREELEKHA, G., and P. S. SATHIDEVI. "A WAVELET-BASED PERCEPTUAL IMAGE CODER INCORPORATING A NEW MODEL FOR COMPRESSION OF COLOR IMAGES." International Journal of Wavelets, Multiresolution and Information Processing 07, no. 05 (2009): 675–92. http://dx.doi.org/10.1142/s0219691309003197.

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A wavelet-based perceptual image coder for the compression of color images is proposed here in which the coding structure is coupled with Human Visual System models to produce high quality images. The major contribution is the development of a new model for the compression of the color components based on psychovisual experiments, which quantifies the optimum amount of compression that can be applied to the color components for a given rate. The model is developed for YCbCr color space and the perceptually uniform CIE Lab color space. A complete coding structure for the compression of color im

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Sai, S. V., and A. G. Shoberg. "Quality control method of the transmission of fine image details in the JPEG2000." Computer Optics 44, no. 3 (2020): 401–8. http://dx.doi.org/10.18287/2412-6179-co-616.

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The article proposes a method for controlling the transmission quality of fine image details in the JPEG2000 standard based on an automatic adjustment of the quantization parameters of discrete wavelet transform (DWT) coefficients. An algorithm for setting up quantization scale parameters for different transformation sub-ranges of the DWT coefficients depending on given (permissible) distortions is described. For an objective assessment of image quality, numerical measures of fine detail distortion in a normalized N-CIELAB colorimetric system are used, according to which an analysis of their s

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Setyono, Andik, Md Jahangir Alam, and C. Eswaran. "Exploration and Development of the JPEG Compression for Mobile Communications System." International Journal of Mobile Computing and Multimedia Communications 5, no. 1 (2013): 25–46. http://dx.doi.org/10.4018/jmcmc.2013010103.

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The JPEG compression algorithm is widely used in communications technology for multimedia data transmission. This algorithm is also very efficient for mobile applications since it can achieve compression ratios more than 100:1, thus greatly facilitating the storage and transmission processes for images. Though lossless JPEG compression is an ideal solution, the compression ratio achieved with this technique is relatively very small. JPEG2000 provides higher compression ratio and quality compared to JPEG but the main problem with this compression technique is its complexity resulting in longer

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Huang, Bormin, Alok Ahuja, and Hung-Lung Huang. "Optimal Compression of High Spectral Resolution Satellite Data via Adaptive Vector Quantization with Linear Prediction." Journal of Atmospheric and Oceanic Technology 25, no. 6 (2008): 1041–47. http://dx.doi.org/10.1175/2007jtecha917.1.

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Abstract Contemporary and future high spectral resolution sounders represent a significant technical advancement for environmental and meteorological prediction and monitoring. Given their large volume of spectral observations, the use of robust data compression techniques will be beneficial to data transmission and storage. In this paper, a novel adaptive vector quantization (VQ)-based linear prediction (AVQLP) method for lossless compression of high spectral resolution sounder data is proposed. The AVQLP method optimally adjusts the quantization codebook sizes to yield the maximum compressio

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Li, Guang Ming, and Zhen Qi He. "Design of Image Acquisition System Based on ARM&FPGA." Applied Mechanics and Materials 65 (June 2011): 363–66. http://dx.doi.org/10.4028/www.scientific.net/amm.65.363.

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One kind of ARM and FPGA integrated design ideas have been proposed in this paper. The cost of ARM and FPGA integrated design is not large, but it can be powerful and expand the scope of application of ARM and FPGA. The system can be divided into two parts: image acquisition and image processing (image compression and storage). The part of image acquisition is composed by the FPGA, and the part of image processing is by the ARM. The system uses high-speed SRAM switching mode “Ping-pong operation” can help to improve image acquisition speed on the part of image acquisition. In addition, the pap

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Pata, Petr. "The Impact of KLT Coder on the Image Distortion in Astronomy." Advances in Astronomy 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/484379.

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Presented paper is devoted to the application of Karhunen-Loève transform (KLT) for compression and to study of KLT impact on the image distortion in astronomy. This transform is an optimal fit for images with Gaussian probability density function in order to minimize the root mean square error (RMSE). The main part of the encoder is proposed in relation to statistical image properties. Selected astronomical image processing algorithms are used for the encoder testing. The astrometry and point spread function distortion are selected as the most important criteria. The results are compared with

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Senapati, Ranjan Kumar, and Prasanth Mankar. "Improved Listless Embedded Block Partitioning Algorithms for Image Compression." International Journal of Image and Graphics 14, no. 04 (2014): 1450020. http://dx.doi.org/10.1142/s021946781450020x.

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In this paper, two simple yet efficient embedded block-based image compression algorithms are presented. These algorithms not only improve the rate distortion performances of set partitioning in hierarchical trees (SPIHT) and set partitioning in embedded block coder (SPECK) at lower bit rates but also reduces the dynamic memory requirement by 91.1% in comparison to SPIHT. The former objective is achieved by better exploiting the coefficient decaying spectrum of the wavelet transformd images and the later objective is realised by improved listless implementation of the algorithms. The proposed

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Kasana, Geeta, Kulbir Singh, and Satvinder Singh Bhatia. "EMD-based steganography techniques for JPEG2000 encoded images." International Journal of Wavelets, Multiresolution and Information Processing 15, no. 03 (2017): 1750020. http://dx.doi.org/10.1142/s0219691317500205.

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In JPEG2000 standard, the number of bit planes of wavelet coefficients to be used in encoding is dependent on the compression ratio as well as subbands. These significant wavelet bit planes can be utilized to embed bits of secret data as they are retained in the final bit stream after Tier-2 encoding. In proposed techniques, the above mentioned concept have been utilized to embed secret data bits in lowest significant bit planes of the quantized wavelet coefficients of a cover image. In first technique, secret data is converted into a series of symbols using multiple bases notational system. T

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Soundarya, G., and S. Bhavani. "Comparison of Hybrid Codes for MRI Brain Image Compression." Asian Journal of Electrical Sciences 1, no. 1 (2012): 35–39. http://dx.doi.org/10.51983/ajes-2012.1.1.1651.

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Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) scanning techniques produce human body pictures in digital form, which are prohibitive in nature. Hence compression is necessary for storage and transmission purposes of such medical images. In general, medical images are compressed in a lossless manner in order to preserve details and to avoid wrong diagnosis. But this leads to a lower compression rate. Hence we consider region of interest (ROI) normally the abnormal region in the image and compress it without loss to achieve high compression ratio in par with maintaining high imag

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Thakur, Vikrant Singh, Kavita Thakur, and Shubhrata Gupta. "A Novel Type-2 Fuzzy Directed Hybrid Post-Filtering Technique for Efficient JPEG Image Artifact Reduction." DESIGN, CONSTRUCTION, MAINTENANCE 1 (January 11, 2021): 8–17. http://dx.doi.org/10.37394/232022.2021.1.2.

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Image and video compression becomes very popular and intense field in recent decades, due to their fast and quality communication demand. To cope up with the high speed communication demand of image and videos, over the communication channel, higher compression (ie. low bit rate compression) is now preferred at the cost of quality degradation. Currently JPEG and JPEG2000 are the most popularly used codec’s for achieving quality image compression. Practically, on the low bit rate compression, it has been observed that, the JPEG standard compressed images suffer from multifarious visual distorti

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Jalilian, Ehsaneddin, Heinz Hofbauer, and Andreas Uhl. "Iris Image Compression Using Deep Convolutional Neural Networks." Sensors 22, no. 7 (2022): 2698. http://dx.doi.org/10.3390/s22072698.

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Compression is a way of encoding digital data so that it takes up less storage and requires less network bandwidth to be transmitted, which is currently an imperative need for iris recognition systems due to the large amounts of data involved, while deep neural networks trained as image auto-encoders have recently emerged a promising direction for advancing the state-of-the-art in image compression, yet the generalizability of these schemes to preserve the unique biometric traits has been questioned when utilized in the corresponding recognition systems. For the first time, we thoroughly inves

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OH, TICK HUI, and KIM GEOK TAN. "IMAGE TRANSMISSION THROUGH MC-CDMA CHANNEL: AN IMAGE QUALITY EVALUATION." International Journal of Wavelets, Multiresolution and Information Processing 06, no. 06 (2008): 827–50. http://dx.doi.org/10.1142/s0219691308002707.

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The multicarrier code division multiple access (MC-CDMA) system is considered as an advancement in mobile communication system. Seen as the next generation communication technology after the 3G, signals can be easily transmitted and received using the Fast Fourier Transform (FFT) device without increasing the transmitter and receiver complexities. Besides, the MC-CDMA system provides good spectral efficiency. If the number of sub-carriers and the spacing between sub-carriers are chosen properly, it is unlikely that all the sub-carriers will be in deep fade. Thus, it provides frequency diversit

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AVERBUCH, AMIR Z., VALERY A. ZHELUDEV, MOSHE GUTTMANN, and DAN D. KOSLOFF. "LCT-WAVELET BASED ALGORITHMS FOR DATA COMPRESSION." International Journal of Wavelets, Multiresolution and Information Processing 11, no. 05 (2013): 1350032. http://dx.doi.org/10.1142/s021969131350032x.

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We present an algorithm that compresses two-dimensional data, which are piece-wise smooth in one direction and have oscillatory events in the other direction. Fine texture, seismic, hyper-spectral and fingerprints have this mixed structure. The transform part of the compression process is an algorithm that combines the application of the wavelet transform in one direction with the local cosine transform (LCT) in the other direction. This is why it is called hybrid compression. The quantization and the entropy coding parts in the compression process were taken from SPIHT codec but it can also b

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Chen, Xiao, and Xiaoqing Xu. "A Fast and Efficient Adaptive Threshold Rate Control Scheme for Remote Sensing Images." Scientific World Journal 2012 (2012): 1–6. http://dx.doi.org/10.1100/2012/691413.

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The JPEG2000 image compression standard is ideal for processing remote sensing images. However, its algorithm is complex and it requires large amounts of memory, making it difficult to adapt to the limited transmission and storage resources necessary for remote sensing images. In the present study, an improved rate control algorithm for remote sensing images is proposed. The required coded blocks are sorted downward according to their numbers of bit planes prior to entropy coding. An adaptive threshold computed from the combination of the minimum number of bit planes, along with the minimum ra

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Nagaraj, Nithin. "Using cantor sets for error detection." PeerJ Computer Science 5 (January 14, 2019): e171. http://dx.doi.org/10.7717/peerj-cs.171.

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Error detection is a fundamental need in most computer networks and communication systems in order to combat the effect of noise. Error detection techniques have also been incorporated with lossless data compression algorithms for transmission across communication networks. In this paper, we propose to incorporate a novel error detection scheme into a Shannon optimal lossless data compression algorithm known as Generalized Luröth Series (GLS) coding. GLS-coding is a generalization of the popular Arithmetic Coding which is an integral part of the JPEG2000 standard for still image compression. G

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Karnatov, Serhii, and Oleksandr Gertsiy. "Comparative analysis of the quality of fractal image compression with JPEG and JPEG2000 standards." Collection of scientific works of the State University of Infrastructure and Technologies series "Transport Systems and Technologies", no. 45 (June 20, 2025): 132–44. https://doi.org/10.32703/2617-9040-2025-45-10.

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This paper presents a comparative analysis of three image compression methods: JPEG, JPEG2000, and fractal compression (FIC). The theoretical foundations of each method are reviewed, including the discrete cosine transform (DCT) for JPEG, the discrete wavelet transform (DWT) for JPEG2000, and the iterated function system (IFS) for FIC. The performance of the algorithms is evaluated using a set of metrics: compression ratio (CR), peak signal-to-noise ratio (PSNR), structural similarity index (SSIM), and the learned fragment image similarity metric (LPIPS). The analysis shows that JPEG2000 gener

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Taubman, David S. "JPEG2000: Image Compression Fundamentals, Standards and Practice." Journal of Electronic Imaging 11, no. 2 (2002): 286. http://dx.doi.org/10.1117/1.1469618.

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Ennaciri, Ansam, Mohammed Erritali, Mustapha Mabrouki, and Jamaa Bengourram. "Comparative Study of Wavelet Image Compression: JPEG2000 Standart." TELKOMNIKA Indonesian Journal of Electrical Engineering 16, no. 1 (2015): 83. http://dx.doi.org/10.11591/tijee.v16i1.1591.

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The objective of this paper is to study the main characteristics of wavelets that affect the image compression by using the discrete wavelet transform and lead to an image data compression while preserving the essential quality of the original image. This implies a good compromise between the image compression ratio and the PSNR (Peak Signal Noise Ration).

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LU, WEN, LIHUO HE, WENJIAN TANG, FEI GAO, and WEILONG HOU. "A NOVEL COMPRESSED IMAGES QUALITY METRIC." International Journal of Image and Graphics 11, no. 02 (2011): 281–92. http://dx.doi.org/10.1142/s021946781100410x.

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As the performance indicator of the image processing algorithms or systems, image quality assessment (IQA) has attracted the attention of many researchers. Aiming to the widely used compression standards, JPEG and JPEG2000, we propose a new no reference (NR) metric for compressed images to do IQA. This metric exploits the causes of distortion by JPEG and JPEG2000, employs the directional discrete cosine transform (DDCT) to obtain the detail and directional information of the images and incorporates with the visual perception to obtain the image quality index. Experimental results show that the

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B, Pallavi, and Sunil M P. "Comparative Analysis of JPEG2000 Image Compression with Other Image Compression Standards using Discrete Wavelet Transforms Technique." International Journal of Engineering Trends and Technology 13, no. 3 (2014): 107–10. http://dx.doi.org/10.14445/22315381/ijett-v13p223.

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Kapustin, V. V., and A. V. Kamenskiy. "Estimation of Intra-frame Compression Quality of a highresolution Image for JPEG and JPEG2000 Standards." Proceedings of Tomsk State University of Control Systems and Radioelectronics 19, no. 3 (2016): 27–31. http://dx.doi.org/10.21293/1818-0442-2016-19-3-27-31.

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Xin, Gangtao, and Pingyi Fan. "Soft Compression for Lossless Image Coding Based on Shape Recognition." Entropy 23, no. 12 (2021): 1680. http://dx.doi.org/10.3390/e23121680.

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Soft compression is a lossless image compression method that is committed to eliminating coding redundancy and spatial redundancy simultaneously. To do so, it adopts shapes to encode an image. In this paper, we propose a compressible indicator function with regard to images, which gives a threshold of the average number of bits required to represent a location and can be used for illustrating the working principle. We investigate and analyze soft compression for binary image, gray image and multi-component image with specific algorithms and compressible indicator value. In terms of compression

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Han, Yan. "Beyond TIFF and JPEG2000: PDF/A as an OAIS submission information package container." Library Hi Tech 33, no. 3 (2015): 409–23. http://dx.doi.org/10.1108/lht-06-2015-0068.

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Purpose – The purpose of this paper is to introduce PDF/A to replace TIFF as the preferred file format for digitization of textual documents. In addition, PDF/A can be used as an open archival information system (OAIS) submission information package (SIP) container to reduce digitization and digital preservation costs. Design/methodology/approach – The author first reviewed the current digitization guidelines, the OAIS model and provides on an overview of the development PDF and PDF/A as international standards. Then literature review of the uses of PDF/A is presented. The author analyzed pitf

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