Perceptual quality measurement for scalable video at low spatial resolution in mobile environments

2009 ◽  
Author(s):  
Hosik Sohn ◽  
Hana Yoo ◽  
Cheon Seog Kim ◽  
Wesley De Neve ◽  
Yong Man Ro
Keyword(s):  
Spatial Resolution ◽  
Quality Measurement ◽  
Perceptual Quality ◽  
Scalable Video ◽  
Mobile Environments

A Perceptually Optimized Foveation Wavelet Visible Difference Predictor Quality Metric Based on Psychovisual Properties of the Human Visual System (HVS)

2020 ◽  
pp. 268-281
Author(s):  
Abderrahim Bajit
Keyword(s):  
Visual System ◽  
Video Compression ◽  
Image Coding ◽  
Human Visual System ◽  
Quality Measurement ◽  
Region Of Interest ◽  
Visual Quality ◽  
Perceptual Quality ◽  
Foveated Imaging ◽  
Error Perception

Region of interest (ROI) image and video compression techniques have been widely used in visual communication applications in an effort to deliver good quality images and videos at limited bandwidths. Foveated imaging exploits the fact that the spatial resolution of the human visual system (HVS) is highest around the point of fixation (foveation point) and decreases dramatically with increasing eccentricity. Exploiting this fact, the authors have developed an appropriate metric for the assessment of ROI coded images, adapted to foveation image coding based on psycho-visual quality optimization tools, which objectively enable us to assess the visual quality measurement with respect to the region of interest (ROI) of the human observer. The proposed metric yields a quality factor called foveation probability score (FPS) that correlates well with visual error perception and demonstrating very good perceptual quality evaluation.

Three Dimensional Scalable Video Adaptation via User-End Perceptual Quality Assessment

2008 ◽  
Vol 54 (3) ◽  
pp. 719-727 ◽  
Author(s):  
Guangtao Zhai ◽  
Jianfei Cai ◽  
Weisi Lin ◽  
Xiaokang Yang ◽  
Wenjun Zhang
Keyword(s):  
Quality Assessment ◽  
Three Dimensional ◽  
Perceptual Quality ◽  
Scalable Video ◽  
Video Adaptation

scholarly journals Learning to Measure Stereoscopic S3D Image Perceptual Quality on the Basis of Binocular Rivalry Response

2019 ◽  
Vol 9 (18) ◽  
pp. 3906
Author(s):  
Siyuan Huang ◽  
Wujie Zhou
Keyword(s):  
Image Quality ◽  
Binocular Rivalry ◽  
Quality Measurement ◽  
Research Field ◽  
Perceptual Quality ◽  
Evaluation Performance ◽  
Stereoscopic 3D ◽  
Performance Loss ◽  
Challenging Issue ◽  
Évaluation Performance

Blind perceptual quality measurement of stereoscopic 3D (S3D) images has become an important and challenging issue in the research field of S3D imaging. In this paper, a blind S3D image quality measurement (IQM) method that does not depend on examples of distorted S3D images and corresponding subjective scores is proposed. As the main contribution of this work, we replace human subjective scores with a quality codebook of binocular rivalry responses (BRRs); this allows blind S3D-IQM methods to be learned without evaluation performance loss. Our results, using the publicly accessible LIVE S3D dataset, confirm that our method is highly robust and efficient.

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