Log in

Relevant bibliographies by topics / Subjective and Objective Image Quality Assessment / Journal articles

To see the other types of publications on this topic, follow the link: Subjective and Objective Image Quality Assessment.

Journal articles on the topic 'Subjective and Objective Image Quality Assessment'

Author: Grafiati

Published: 6 September 2023

Last updated: 31 July 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 'Subjective and Objective Image Quality Assessment.'

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

Park, Hyung-ju, and Dong-hwan Har. "Subjective image quality assessment based on objective image quality measurement factors." IEEE Transactions on Consumer Electronics 57, no. 3 (2011): 1176–84. http://dx.doi.org/10.1109/tce.2011.6018872.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Jamil, Sonain. "Review of Image Quality Assessment Methods for Compressed Images." Journal of Imaging 10, no. 5 (2024): 113. http://dx.doi.org/10.3390/jimaging10050113.

Full text

Abstract:

The compression of images for efficient storage and transmission is crucial in handling large data volumes. Lossy image compression reduces storage needs but introduces perceptible distortions affected by content, compression levels, and display environments. Each compression method generates specific visual anomalies like blocking, blurring, or color shifts. Standardizing efficient lossy compression necessitates evaluating perceptual quality. Objective measurements offer speed and cost efficiency, while subjective assessments, despite their cost and time implications, remain the gold standard

APA, Harvard, Vancouver, ISO, and other styles

3

Hamamoto, Kazuhiko. "STUDY ON OPTIMIZATION OF ARCHIVING CONDITION UNDER JPEG2000 AND ITS QUALITY EVALUATION FOR MEDICAL ULTRASONIC ECHO IMAGE." ASEAN Engineering Journal 1, no. 2 (2011): 40–50. http://dx.doi.org/10.11113/aej.v1.15289.

Full text

Abstract:

Medical ultrasonic echo image is indispensable diagnostic technique and a large number of the investigation is carried out every day. Therefore, the image compression technique is very important. Author has proposed a technique using Genetic Algorithm (GA) to optimize quantization condition in JPEG2000. The result has shown image quality evaluation by PSNR (the objective assessment) and one by ultrasonographer (the subjective assessment by PSNR) are sometimes not equivalent. In this research, some objective assessment methods and the subjective assessment are compared for 4 images whose diseas

APA, Harvard, Vancouver, ISO, and other styles

4

Zhang, Chun E., Fan Ci Guo, and Ke Xiong. "Towards Subjective Consistency: An Effective Objective Quality Assessment Algorithm for Binary Image." Key Engineering Materials 474-476 (April 2011): 143–50. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.143.

Full text

Abstract:

Image quality assessment plays an important role in various image processing applications. One of the challenges to objectively assess image quality is how to design an effective scheme to achieve high consistency with the classic subjective image assessment criterion, Mean Opinion Score (MOS). This work presents a novel objective assessment algorithm for binary images by considering three factors which have great influences on visual quality of binary images, i.e., structural change caused by noise point, isolated noise points, and gathering noise points. Experimental results show that our al

APA, Harvard, Vancouver, ISO, and other styles

5

Afnan, Afnan, Faiz Ullah, Yaseen Yaseen, Jinhee Lee, Sonain Jamil, and Oh-Jin Kwon. "Subjective Assessment of Objective Image Quality Metrics Range Guaranteeing Visually Lossless Compression." Sensors 23, no. 3 (2023): 1297. http://dx.doi.org/10.3390/s23031297.

Full text

Abstract:

The usage of media such as images and videos has been extensively increased in recent years. It has become impractical to store images and videos acquired by camera sensors in their raw form due to their huge storage size. Generally, image data is compressed with a compression algorithm and then stored or transmitted to another platform. Thus, image compression helps to reduce the storage size and transmission cost of the images and videos. However, image compression might cause visual artifacts, depending on the compression level. In this regard, performance evaluation of the compression algo

APA, Harvard, Vancouver, ISO, and other styles

6

Zhang, Huiqing, Donghao Li, Yibing Yu, and Nan Guo. "Subjective and Objective Quality Assessments of Display Products." Entropy 23, no. 7 (2021): 814. http://dx.doi.org/10.3390/e23070814.

Full text

Abstract:

In recent years, people’s daily lives have become inseparable from a variety of electronic devices, especially mobile phones, which have undoubtedly become necessity in people’s daily lives. In this paper, we are looking for a reliable way to acquire visual quality of the display product so that we can improve the user’s experience with the display product. This paper proposes two major contributions: the first one is the establishment of a new subjective assessment database (DPQAD) of display products’ screen images. Specifically, we invited 57 inexperienced observers to rate 150 screen image

APA, Harvard, Vancouver, ISO, and other styles

7

Zelmati, Omar, Boban Bondžulić, Boban Pavlović, Ivan Tot, and Saad Merrouche. "Study of subjective and objective quality assessment of infrared compressed images." Journal of Electrical Engineering 73, no. 2 (2022): 73–87. http://dx.doi.org/10.2478/jee-2022-0011.

Full text

Abstract:

Abstract Given the lack of accessible infrared compressed images’ benchmarks annotated by human subjects, this work presents a new database with the aim of studying both subjective and objective image quality assessment (IQA) on compressed long wavelength infrared (LWIR) images. The database contains 20 reference (pristine) images and 200 distorted (degraded) images obtained by application of the most known compression algorithms used in multimedia and communication fields, namely: JPEG and JPEG-2000. Each compressed image is evaluated by 31 subjects having different levels of experience in LW

APA, Harvard, Vancouver, ISO, and other styles

8

Oszust, Mariusz. "No-Reference Image Quality Assessment with Local Gradient Orientations." Symmetry 11, no. 1 (2019): 95. http://dx.doi.org/10.3390/sym11010095.

Full text

Abstract:

Image processing methods often introduce distortions, which affect the way an image is subjectively perceived by a human observer. To avoid inconvenient subjective tests in cases in which reference images are not available, it is desirable to develop an automatic no-reference image quality assessment (NR-IQA) technique. In this paper, a novel NR-IQA technique is proposed in which the distributions of local gradient orientations in image regions of different sizes are used to characterize an image. To evaluate the objective quality of an image, its luminance and chrominance channels are process

APA, Harvard, Vancouver, ISO, and other styles

9

Park, Hyung-Ju, and Dong-Hwan Har. "Correlation Research between Objective and Subjective Image Quality Assessment." Journal of the Korea Contents Association 11, no. 8 (2011): 68–76. http://dx.doi.org/10.5392/jkca.2011.11.8.068.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Shrestha, Prarthana, Rik Kneepkens, Gijs van Elswijk, et al. "Objective and Subjective Assessment of Digital Pathology Image Quality." AIMS Medical Science 2, no. 1 (2015): 65–78. http://dx.doi.org/10.3934/medsci.2015.1.65.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Good, Walter F., David Gur, John H. Feist, et al. "Subjective and objective assessment of image quality—A comparison." Journal of Digital Imaging 7, no. 2 (1994): 77–78. http://dx.doi.org/10.1007/bf03168426.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Yang, Yang, Jun Ming, and Nenghai Yu. "Color Image Quality Assessment Based on CIEDE2000." Advances in Multimedia 2012 (2012): 1–6. http://dx.doi.org/10.1155/2012/273723.

Full text

Abstract:

Combining the color difference formula of CIEDE2000 and the printing industry standard for visual verification, we present an objective color image quality assessment method correlated with subjective vision perception. An objective score conformed to subjective perception (OSCSP)Qwas proposed to directly reflect the subjective visual perception. In addition, we present a general method to calibrate correction factors of color difference formula under real experimental conditions. Our experiment results show that the present DE2000-based metric can be consistent with human visual system in gen

APA, Harvard, Vancouver, ISO, and other styles

13

Okarma, Krzysztof, Piotr Lech, and Vladimir V. Lukin. "Combined Full-Reference Image Quality Metrics for Objective Assessment of Multiply Distorted Images." Electronics 10, no. 18 (2021): 2256. http://dx.doi.org/10.3390/electronics10182256.

Full text

Abstract:

In the recent years, many objective image quality assessment methods have been proposed by different researchers, leading to a significant increase in their correlation with subjective quality evaluations. Although many recently proposed image quality assessment methods, particularly full-reference metrics, are in some cases highly correlated with the perception of individual distortions, there is still a need for their verification and adjustment for the case when images are affected by multiple distortions. Since one of the possible approaches is the application of combined metrics, their an

APA, Harvard, Vancouver, ISO, and other styles

14

Liu, Yue, Yu Tian, Shiqi Wang, Xinfeng Zhang, and Sam Kwong. "Overview of High-Dynamic-Range Image Quality Assessment." Journal of Imaging 10, no. 10 (2024): 243. http://dx.doi.org/10.3390/jimaging10100243.

Full text

Abstract:

In recent years, the High-Dynamic-Range (HDR) image has gained widespread popularity across various domains, such as the security, multimedia, and biomedical fields, owing to its ability to deliver an authentic visual experience. However, the extensive dynamic range and rich detail in HDR images present challenges in assessing their quality. Therefore, current efforts involve constructing subjective databases and proposing objective quality assessment metrics to achieve an efficient HDR Image Quality Assessment (IQA). Recognizing the absence of a systematic overview of these approaches, this p

APA, Harvard, Vancouver, ISO, and other styles

15

Okarma, Krzysztof, Wojciech Chlewicki, Mateusz Kopytek, Beata Marciniak, and Vladimir Lukin. "Entropy-Based Combined Metric for Automatic Objective Quality Assessment of Stitched Panoramic Images." Entropy 23, no. 11 (2021): 1525. http://dx.doi.org/10.3390/e23111525.

Full text

Abstract:

Quality assessment of stitched images is an important element of many virtual reality and remote sensing applications where the panoramic images may be used as a background as well as for navigation purposes. The quality of stitched images may be decreased by several factors, including geometric distortions, ghosting, blurring, and color distortions. Nevertheless, the specificity of such distortions is different than those typical for general-purpose image quality assessment. Therefore, the necessity of the development of new objective image quality metrics for such type of emerging applicatio

APA, Harvard, Vancouver, ISO, and other styles

16

Wang, Zhiyu, Jiayan Zhuang, Sichao Ye, Ningyuan Xu, Jiangjian Xiao, and Chengbin Peng. "Image Restoration Quality Assessment Based on Regional Differential Information Entropy." Entropy 25, no. 1 (2023): 144. http://dx.doi.org/10.3390/e25010144.

Full text

Abstract:

With the development of image recovery models, especially those based on adversarial and perceptual losses, the detailed texture portions of images are being recovered more naturally. However, these restored images are similar but not identical in detail texture to their reference images. With traditional image quality assessment methods, results with better subjective perceived quality often score lower in objective scoring. Assessment methods suffer from subjective and objective inconsistencies. This paper proposes a regional differential information entropy (RDIE) method for image quality a

APA, Harvard, Vancouver, ISO, and other styles

17

Xiang, Tao, Ying Yang, and Shangwei Guo. "Blind Night-Time Image Quality Assessment: Subjective and Objective Approaches." IEEE Transactions on Multimedia 22, no. 5 (2020): 1259–72. http://dx.doi.org/10.1109/tmm.2019.2938612.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Lamichhane, Kamal, Marco Carli, and Federica Battisti. "Saliency-based deep blind image quality assessment." Electronic Imaging 2021, no. 9 (2021): 225–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.9.iqsp-225.

Full text

Abstract:

Assessing the quality of images is a challenging task. To achieve this goal, the images must be evaluated by a pool of subjects following a well-defined assessment protocol or an objective quality metric must be defined. In this contribution, an objective metric based on neural networks is proposed. The model takes into account the human vision system by computing a saliency map of the image under test. The system is based on two modules: the first one is trained using normalized distorted images. It learns the features from the original and the distorted images and the estimated saliency map.

APA, Harvard, Vancouver, ISO, and other styles

19

Fang, Yuming, Liping Huang, Jiebin Yan, Xuelin Liu, and Yang Liu. "Perceptual Quality Assessment of Omnidirectional Images." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 1 (2022): 580–88. http://dx.doi.org/10.1609/aaai.v36i1.19937.

Full text

Abstract:

Omnidirectional images, also called 360◦images, have attracted extensive attention in recent years, due to the rapid development of virtual reality (VR) technologies. During omnidirectional image processing including capture, transmission, consumption, and so on, measuring the perceptual quality of omnidirectional images is highly desired, since it plays a great role in guaranteeing the immersive quality of experience (IQoE). In this paper, we conduct a comprehensive study on the perceptual quality of omnidirectional images from both subjective and objective perspectives. Specifically, we cons

APA, Harvard, Vancouver, ISO, and other styles

20

Kazakeviciute-Januskeviciene, Giruta, Edgaras Janusonis, Romualdas Bausys, Tadas Limba, and Mindaugas Kiskis. "Assessment of the Segmentation of RGB Remote Sensing Images: A Subjective Approach." Remote Sensing 12, no. 24 (2020): 4152. http://dx.doi.org/10.3390/rs12244152.

Full text

Abstract:

The evaluation of remote sensing imagery segmentation results plays an important role in the further image analysis and decision-making. The search for the optimal segmentation method for a particular data set and the suitability of segmentation results for the use in satellite image classification are examples where the proper image segmentation quality assessment can affect the quality of the final result. There is no extensive research related to the assessment of the segmentation effectiveness of the images. The designed objective quality assessment metrics that can be used to assess the q

APA, Harvard, Vancouver, ISO, and other styles

21

Dixon, Timothy D., Eduardo Fernández Canga, Stavri G. Nikolov, et al. "Selection of image fusion quality measures: objective, subjective, and metric assessment." Journal of the Optical Society of America A 24, no. 12 (2007): B125. http://dx.doi.org/10.1364/josaa.24.00b125.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Wu, Qingbo, Lei Wang, King Ngi Ngan, Hongliang Li, Fanman Meng, and Linfeng Xu. "Subjective and Objective De-Raining Quality Assessment Towards Authentic Rain Image." IEEE Transactions on Circuits and Systems for Video Technology 30, no. 11 (2020): 3883–97. http://dx.doi.org/10.1109/tcsvt.2020.2972566.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Maksimović-Moićević, Sanja, Željko Lukač, and Miodrag Temerinac. "Objective estimation of subjective image quality assessment using multi-parameter prediction." IET Image Processing 13, no. 13 (2019): 2428–35. http://dx.doi.org/10.1049/iet-ipr.2018.6143.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Hu, Bo, Leida Li, Jinjian Wu, and Jiansheng Qian. "Subjective and objective quality assessment for image restoration: A critical survey." Signal Processing: Image Communication 85 (July 2020): 115839. http://dx.doi.org/10.1016/j.image.2020.115839.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Sazzad, Z. M. Parvez, Roushain Akhter, J. Baltes, and Y. Horita. "Objective No-Reference Stereoscopic Image Quality Prediction Based on 2D Image Features and Relative Disparity." Advances in Multimedia 2012 (2012): 1–16. http://dx.doi.org/10.1155/2012/256130.

Full text

Abstract:

Stereoscopic images are widely used to enhance the viewing experience of three-dimensional (3D) imaging and communication system. In this paper, we propose an image feature and disparity dependent quality evaluation metric, which incorporates human visible system characteristics. We believe perceived distortions and disparity of any stereoscopic image are strongly dependent on local features, such as edge (i.e., nonplane areas of an image) and nonedge (i.e., plane areas of an image) areas within the image. Therefore, a no-reference perceptual quality assessment method is developed for JPEG cod

APA, Harvard, Vancouver, ISO, and other styles

26

Pula, Michal, Emilia Kucharczyk, Agata Zdanowicz, and Maciej Guzinski. "Image Quality Improvement in Deep Learning Image Reconstruction of Head Computed Tomography Examination." Tomography 9, no. 4 (2023): 1485–93. http://dx.doi.org/10.3390/tomography9040118.

Full text

Abstract:

In this study, we assess image quality in computed tomography scans reconstructed via DLIR (Deep Learning Image Reconstruction) and compare it with iterative reconstruction ASIR-V (Adaptive Statistical Iterative Reconstruction) in CT (computed tomography) scans of the head. The CT scans of 109 patients were subjected to both objective and subjective evaluation of image quality. The objective evaluation was based on the SNR (signal-to-noise ratio) and CNR (contrast-to-noise ratio) of the brain’s gray and white matter. The regions of interest for our study were set in the BGA (basal ganglia area

APA, Harvard, Vancouver, ISO, and other styles

27

Honarmand, Amir R., Ali Shaibani, Tamila Pashaee, et al. "Subjective and objective evaluation of image quality in biplane cerebral digital subtraction angiography following significant acquisition dose reduction in a clinical setting." Journal of NeuroInterventional Surgery 9, no. 3 (2016): 297–301. http://dx.doi.org/10.1136/neurintsurg-2016-012296.

Full text

Abstract:

ObjectiveDifferent technical and procedural methods have been introduced to develop low radiation dose protocols in neurointerventional examinations. We investigated the feasibility of minimizing radiation exposure dose by simply decreasing the detector dose during cerebral DSA and evaluated the comparative level of image quality using both subjective and objective methods.MethodsIn a prospective study of patients undergoing diagnostic cerebral DSA, randomly selected vertebral arteries (VA) and/or internal carotid arteries and their contralateral equivalent arteries were injected. Detector dos

APA, Harvard, Vancouver, ISO, and other styles

28

Tomás, Julián Espinosa, Jorge Pérez Rodríguez, David Más Candela, Carmen Vázquez Ferri, and Esther Perales. "Objective Prediction of Human Visual Acuity Using Image Quality Metrics." Applied Sciences 13, no. 10 (2023): 6350. http://dx.doi.org/10.3390/app13106350.

Full text

Abstract:

This work addresses the objective prediction of human uncorrected decimal visual acuity, an unsolved challenge due to the contribution of both physical and neural factors. An alternative approach to assess the image quality of the human visual system can be addressed from the image and video processing perspective. Human tolerance to image degradation is quantified by mean opinion scores, and several image quality assessment algorithms are used to maintain, control, and improve the quality of processed images. The aberration map of the eye is used to obtain the degraded theoretical image from

APA, Harvard, Vancouver, ISO, and other styles

29

Shang, Xiaobao, Xinyu Zhao, and Yong Ding. "Image Quality Assessment Based on Joint Quality-Aware Representation Construction in Multiple Domains." Journal of Engineering 2018 (2018): 1–12. http://dx.doi.org/10.1155/2018/1214697.

Full text

Abstract:

Image quality assessment that aims to evaluate the image quality automatically by a computational model plays a significant role in image processing systems. To meet the need of accuracy and effectiveness, in the proposed method, complementary features including histogram of oriented gradient, edge information, and color information are employed for joint representation of the image quality. Afterwards, the dissimilarities of the extracted features between the distorted and reference images are quantified. Finally, support vector regression is used for distortion indices fusion and objective q

APA, Harvard, Vancouver, ISO, and other styles

30

Kazimierczak, Wojciech, Kamila Kędziora, Joanna Janiszewska-Olszowska, Natalia Kazimierczak, and Zbigniew Serafin. "Noise-Optimized CBCT Imaging of Temporomandibular Joints—The Impact of AI on Image Quality." Journal of Clinical Medicine 13, no. 5 (2024): 1502. http://dx.doi.org/10.3390/jcm13051502.

Full text

Abstract:

Background: Temporomandibular joint disorder (TMD) is a common medical condition. Cone beam computed tomography (CBCT) is effective in assessing TMD-related bone changes, but image noise may impair diagnosis. Emerging deep learning reconstruction algorithms (DLRs) could minimize noise and improve CBCT image clarity. This study compares standard and deep learning-enhanced CBCT images for image quality in detecting osteoarthritis-related degeneration in TMJs (temporomandibular joints). This study analyzed CBCT images of patients with suspected temporomandibular joint degenerative joint disease (

APA, Harvard, Vancouver, ISO, and other styles

31

Shi, Ran, King Ngi Ngan, Songnan Li, Raveendran Paramesran, and Hongliang Li. "Visual Quality Evaluation of Image Object Segmentation: Subjective Assessment and Objective Measure." IEEE Transactions on Image Processing 24, no. 12 (2015): 5033–45. http://dx.doi.org/10.1109/tip.2015.2473099.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Shi, Guangming, Wenfei Wan, Jinjian Wu, Xuemei Xie, Weisheng Dong, and Hong Ren Wu. "SISRSet: Single image super-resolution subjective evaluation test and objective quality assessment." Neurocomputing 360 (September 2019): 37–51. http://dx.doi.org/10.1016/j.neucom.2019.06.027.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Ma, Lin, Weisi Lin, Chenwei Deng, and King Ngi Ngan. "Image Retargeting Quality Assessment: A Study of Subjective Scores and Objective Metrics." IEEE Journal of Selected Topics in Signal Processing 6, no. 6 (2012): 626–39. http://dx.doi.org/10.1109/jstsp.2012.2211996.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Deng, Ruizhe, Yang Zhao, and Yong Ding. "Hierarchical Feature Extraction Assisted with Visual Saliency for Image Quality Assessment." Journal of Engineering 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/4752378.

Full text

Abstract:

Image quality assessment (IQA) is desired to evaluate the perceptual quality of an image in a manner consistent with subjective rating. Considering the characteristics of hierarchical visual cortex, a novel full reference IQA method is proposed in this paper. Quality-aware features that human visual system is sensitive to are extracted to describe image quality comprehensively. Concretely, log Gabor filters and local tetra patterns are employed to capture spatial frequency and local texture features, which are attractive to the primary and secondary visual cortex, respectively. Moreover, image

APA, Harvard, Vancouver, ISO, and other styles

35

Chandrakanth, T., and B. Sandhya. "Analysis of SSIM based Quality Assessment across Color Channels of Images." International Journal of System Dynamics Applications 4, no. 3 (2015): 30–42. http://dx.doi.org/10.4018/ijsda.2015070102.

Full text

Abstract:

Advances in imaging and computing hardware have led to an explosion in the use of color images in image processing, graphics and computer vision applications across various domains such as medical imaging, satellite imagery, document analysis and biometrics to name a few. However, these images are subjected to a wide variety of distortions during its acquisition, subsequent compression, transmission, processing and then reproduction, which degrade their visual quality. Hence objective quality assessment of color images has emerged as one of the essential operations in image processing. During

APA, Harvard, Vancouver, ISO, and other styles

36

EL Sahili, Nabil, Ibrahim Nasseh, Antoine Berberi, Sandra David-Tchouda, Sophie Thoret, and Thomas Fortin. "Impact of Cone Beam Computed Tomography Dose in Pre-Surgical Implant Analysis." Open Dentistry Journal 12, no. 1 (2018): 94–103. http://dx.doi.org/10.2174/1874210601812010094.

Full text

Abstract:

Objectives: Cone-Beam Computed Tomography (CBCT) produces vital information required for the accurate and prudent placement of dental implants. Lack of standardization between CBCT machines may result in unsafe patient exposure to harmful radiation; higher doses are not necessarily associated with improved image quality. Aim: The study aimed to assess the influence of low- and high-dose milliamperage settings on CBCT images for objective and subjective implant planning. Methods: Two dry skulls (4 hemi-maxillary segments of the maxilla and 4 hemi-maxillary segments of the mandible) were scanned

APA, Harvard, Vancouver, ISO, and other styles

37

Bondžulić, Boban, Boban Pavlović, Nenad Stojanović, and Vladimir Petrović. "Picture-wise just noticeable difference prediction model for JPEG image quality assessment." Vojnotehnicki glasnik 70, no. 1 (2022): 62–86. http://dx.doi.org/10.5937/vojtehg70-34739.

Full text

Abstract:

Introduction/purpose: The paper presents interesting research related to the performance analysis of the picture-wise just noticeable difference (JND) prediction model and its application in the quality assessment of images with JPEG compression. Methods: The performance analysis of the JND model was conducted in an indirect way by using the publicly available results of subject-rated image datasets with the separation of images into two classes (above and below the threshold of visible differences). In the performance analysis of the JND prediction model and image quality assessment, five ima

APA, Harvard, Vancouver, ISO, and other styles

38

Ozcinar, Cagri, and Aakanksha Rana. "Quality Assessment of Super-Resolved Omnidirectional Image Quality Using Tangential Views." Electronic Imaging 2021, no. 9 (2021): 295–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.9.iqsp-295.

Full text

Abstract:

Omnidirectional images (ODIs), also known as 360-degree images, enable viewers to explore all directions of a given 360-degree scene from a fixed point. Designing an immersive imaging system with ODI is challenging as such systems require very large resolution coverage of the entire 360 viewing space to provide an enhanced quality of experience (QoE). Despite remarkable progress on single image super-resolution (SISR) methods with deep-learning techniques, no study for quality assessments of super-resolved ODIs exists to analyze the quality of such SISR techniques. This paper proposes an objec

APA, Harvard, Vancouver, ISO, and other styles

39

Sendjasni, Abderrezzaq, Mohamed-Chaker Larabi, and Faouzi Alaya Cheikh. "On the Improvement of 2D Quality Assessment Metrics for Omnidirectional Images." Electronic Imaging 2020, no. 9 (2020): 287–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.9.iqsp-287.

Full text

Abstract:

Subjective quality assessment remains the most reliable way to evaluate image quality while being tedious and money consuming. Therefore, objective quality evaluation ensures a trade-off by providing a computational approach for predicting image quality. Even though a large literature exists for 2D image and video quality evaluation, 360-degree images quality is still under-explored. One can question the efficiency of 2D quality metrics on such a new type of content. To this end, we propose to study the possible improvement of well-known 2D quality metrics using important features related to 3

APA, Harvard, Vancouver, ISO, and other styles

40

Luo, Xiaoyan, Shining Wang, and Ding Yuan. "Subjective Score Predictor: A New Evaluation Function of Distorted Image Quality." Mathematical Problems in Engineering 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/1243410.

Full text

Abstract:

Image quality assessment (IQA) is a method to evaluate the perceptual performance of image. Many objective IQA algorithms are developed from the objective comparison of image features, which are mainly trained and evaluated from the ground truth of subjective scores. Due to the inconsistent experiment conditions and cumbersome observing processes of subjective experiments, it is imperative to generate the ground truth for IQA research via objective computation methods. In this paper, we propose a subjective score predictor (SSP) aiming to provide the ground truth of IQA datasets. In perfect ac

APA, Harvard, Vancouver, ISO, and other styles

41

Park, Hyung Ju, and Dong Hwan Har. "The Correlation between Image Preferences and Image Quality Factors: ISO Objective and Subjective Image Quality Assessments." International Journal of the Image 2, no. 2 (2012): 241–54. http://dx.doi.org/10.18848/2154-8560/cgp/v02i02/44251.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Shahkolaei, Atena, Hossein Ziaei Nafchi, Somaya Al-Maadeed, and Mohamed Cheriet. "Subjective and objective quality assessment of degraded document images." Journal of Cultural Heritage 30 (March 2018): 199–209. http://dx.doi.org/10.1016/j.culher.2017.10.001.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Fante, Kinde Anlay, Fetulhak Abdurahman, and Mulugeta Tegegn Gemeda. "An Ingenious Application-Specific Quality Assessment Methods for Compressed Wireless Capsule Endoscopy Images." Transactions on Environment and Electrical Engineering 4, no. 1 (2020): 18. http://dx.doi.org/10.22149/teee.v4i1.139.

Full text

Abstract:

<p>Image quality assessment methods are used in different image processing applications. Among them, image compression and image super-resolution can be mentioned in wireless capsule endoscopy (WCE) applications. The existing image compression algorithms for WCE employ the generalpurpose image quality assessment (IQA) methods to evaluate the quality of the compressed image. Due to the specific nature of the images captured by WCE, the general-purpose IQA methods are not optimal and give less correlated results to that of subjective IQA (visual perception). This paper presents improved im

APA, Harvard, Vancouver, ISO, and other styles

44

Shim, Jae Hun, Se Young Choi, In Ho Chang, and Sung Bin Park. "Dose Optimization Using a Deep Learning Tool in Various CT Protocols for Urolithiasis: A Physical Human Phantom Study." Medicina 59, no. 9 (2023): 1677. http://dx.doi.org/10.3390/medicina59091677.

Full text

Abstract:

Background and Objectives: We attempted to determine the optimal radiation dose to maintain image quality using a deep learning application in a physical human phantom. Materials and Methods: Three 5 × 5 × 5 mm3 uric acid stones were placed in a physical human phantom in various locations. Three tube voltages (120, 100, and 80 kV) and four current–time products (100, 70, 30, and 15 mAs) were implemented in 12 scans. Each scan was reconstructed with filtered back projection (FBP), statistical iterative reconstruction (IR, iDose), and knowledge-based iterative model reconstruction (IMR). By appl

APA, Harvard, Vancouver, ISO, and other styles

45

Pradip, Paudyal, Battisti Federica, Le Callet Patrick, Gutiérrez Jesús, and Carli Marco. "Perceptual Quality of Light Field Images and Impact of Visualization Techniques." IEEE Transactions on Broadcasting 67, no. 2 (2021): 395–408. https://doi.org/10.1109/TBC.2020.3034445.

Full text

Abstract:

Light Field imaging provides a wide range of interactive features, such as view point changing and refocusing, and it has been developing as a solution for six degree of freedom applications. Many ongoing efforts, specifically related to pre/post processing, compression, and rendering, have been devoted to the development of this technology. To benchmark processing algorithms, the knowledge of degraded or improved quality level is important. However, the definition of validated subjective and objective quality assessment methods is still an open and challenging issue. In this scenario, this co

APA, Harvard, Vancouver, ISO, and other styles

46

Zhao, Jing, and Qi Guo. "Intelligent Assessment for Visual Quality of Streets: Exploration Based on Machine Learning and Large-Scale Street View Data." Sustainability 14, no. 13 (2022): 8166. http://dx.doi.org/10.3390/su14138166.

Full text

Abstract:

At present, the collection and analysis of large amounts of key data for the visual quality assessment of streets are performed manually. The assessment efficiency is not high, and the effective information is not fully explored. This study aims to establish an intelligent method for assessing the visual quality of streets. Taking the Hexi District of Tianjin as an example and using street view images as the assessment medium, an assessment model of objective physical indicators is established based on PaddleSeg, an assessment model of subjective perceptual indicators is established based on n

APA, Harvard, Vancouver, ISO, and other styles

47

Du, Juan. "AIVMAF: Automatic Image Quality Estimation Based on Improved VMAF and YOLOv4." Journal of Physics: Conference Series 2289, no. 1 (2022): 012020. http://dx.doi.org/10.1088/1742-6596/2289/1/012020.

Full text

Abstract:

Abstract The current most widely used way of image quality estimation relies heavily on the subjective assessment, while majority of past objective estimation methods are not satisfactory on accuracy. To solve them and realize unsupervised image quality estimation with high precision, this paper creates a linear way with “Proportional Partition” controlled by horizontal and vertical rates of extracted pixel to get best representations of the image with patching, balance the uneven distribution of image quality in each source image, and offer dynamic compatibility to images with high resolution

APA, Harvard, Vancouver, ISO, and other styles

48

Amirshahi, Seyed Ali. "Deep Learning in Image Quality Assessment: Past, Present, and What Lies Ahead." London Imaging Meeting 2021, no. 1 (2021): 1–4. http://dx.doi.org/10.2352/issn.2694-118x.2021.lim-1.

Full text

Abstract:

Quality assessment of images plays an important role in different applications in image processing and computer vision. While subjective quality assessment of images is the most accurate approach due to issues objective quality metrics have been the go to approach. Until recently most such metrics have taken advantage of different handcrafted features. Similar (but with a slower speed) to other applications in image processing and computer vision, different machine learning techniques, more specifically Convolutional Neural Networks (CNNs) have been introduced in different tasks related to ima

APA, Harvard, Vancouver, ISO, and other styles

49

Zhang, Ning, and Cui Lin. "The Image Definition Assessment of Optoelectronic Tracking Equipment Based on the BRISQUE Algorithm with Gaussian Weights." Sensors 23, no. 3 (2023): 1621. http://dx.doi.org/10.3390/s23031621.

Full text

Abstract:

Defocus is an important factor that causes image quality degradation of optoelectronic tracking equipment in the shooting range. In this paper, an improved blind/referenceless image spatial quality evaluator (BRISQUE) algorithm is formulated by using the image characteristic extraction technology to obtain a characteristic vector (CV). The CV consists of 36 characteristic values that can effectively reflect the defocusing condition of the corresponding image. The image is evaluated and scored subjectively by the human eyes. The subjective evaluation scores and CVs constitute a set of training

APA, Harvard, Vancouver, ISO, and other styles

50

Rusandu, Albertina, Adrian Beck, Atle Hegge, and Gabriele Engh. "Image quality in abdominal CT: A comparison of two reconstruction algorithms in Filtered Back Projection (FBP)." MEDICAL IMAGING AND RADIOTHERAPY JOURNAL 39, no. 1 (2022): 5–11. http://dx.doi.org/10.47724/mirtj.2022.i02.a001.

Full text

Abstract:

Objectives: The aim of this study was to evaluate the effect of the choice of kernel on the image quality in abdominal CT images with focus on liver lesion visibility. Methods: In this comparative study 84 abdominal CT examinations of patients with liver lesions that included parallel series reconstructed with two different kernels (B30 and B45) were analyzed. The subjective assessment of image quality was performed using visual grading analysis based on anatomical criteria, liver lesion visibility and perceived image quality. Objective image quality was assessed by measurements of Hounsfield

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!