Critical Binocular Asymmetry Measure for the Perceptual Quality Assessment of Synthesized Stereo 3D Images in View Synthesis

Jung, Yong Ju; Kim, Hak Gu; Ro, Yong Man

doi:10.1109/tcsvt.2015.2430632

Cited by 43 publications

(26 citation statements)

References 38 publications

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“…There are various potential sources of binocular mismatches [33]. Many stereoscopic image processing related to the binocular mismatch (e.g., objective quality assessment [15,34]) could achieve better performances by considering the BJND model, which took into account purely noise amplitude deviation [11]. In [34], the BJND was used as the weight of the quality score for binocular mismatched regions.…”

Section: Resultsmentioning

confidence: 99%

“…It could improve the performances of the quality assessment for stereo images including various noises (e.g., JPEG, Gaussian blur, white noise, etc.). In [15], the BJND model was used to detect the most important errors between the left and right images (LR critical areas). By determining the threshold based on the model, more accurate LR critical areas could be detected for quality assessment of the synthesized stereo images.…”

Section: Resultsmentioning

confidence: 99%

“…Zaroff et al reported that the ability to perceive disparity difference (i.e., stereoacuity) could increase as the disparity decreased [13]. In an objective quality metric for synthesized stereoscopic images [15], the perceptual quality degradations induced by left and right mismatches could be accurately predicted by taking into account the disparity. Given the above previous studies, we speculate that the visibility threshold of asymmetric noise could be affected by the disparities of visual stimuli.…”

Section: Introductionmentioning

confidence: 99%

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Experimental investigation of the effect of binocular disparity on the visibility threshold of asymmetric noise in stereoscopic viewing

Kim

Lee

2016

Opt. Express

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Stereoscopic images could have asymmetric distortions caused by image processing in capture, synthesis, and compression of them. In 3D perception in stereoscopic display, the visibility threshold of the asymmetric distortions in the left and right images is important, which is tolerable to the human visual system. In this paper, we investigate the effect of the binocular disparity on the visibility threshold of asymmetric noises in stereoscopic images via subjective assessments. Existing just-noticeable-difference (JND) models for stereoscopic images have not taken into account the effect of the disparity in stereoscopic viewing. In this paper, we subjectively assessed the visibility threshold of asymmetric noises in stereoscopic images according to the disparity. Subjective evaluations showed that large disparity magnitudes could make more tolerable to perceive the asymmetric noises in the stereoscopic viewing.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Experimental investigation of the effect of binocular disparity on the visibility threshold of asymmetric noise in stereoscopic viewing

Kim

Lee

2016

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“…Here, only compression distortions are evaluated. Later, Jung et al proposed another IVY stereoscopic 3D image database to assess the quality of DIBR synthesized stereoscopic images [35]. A total of 7 sequences are selected from four Middlebury datasets [36] (Aloe, Dolls, Reindeer, and Laundry) and three MVD sequences (Lovebird1, N ewspaper and Bookarrival).…”

Section: Introductionmentioning

confidence: 99%

A Benchmark of DIBR Synthesized View Quality Assessment Metrics on a New Database for Immersive Media Applications

Tian

Zhang

Morin

et al. 2019

IEEE Trans. Multimedia

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Depth-Image-Based Rendering (DIBR) is a fundamental technology in several 3D-related applications, such as Free viewpoint video (FVV), Virtual Reality (VR) and Augmented Reality (AR). However, new challenges have also been brought in assessing the quality of DIBR-synthesized views since this process induces some new types of distortions, which are inherently different from the distortion caused by video coding. In this paper, we present a new DIBR-synthesized image database with the associated subjective scores. We also test the performances of the state-of-the-art objective quality metrics on this database. This work focuses on the distortions only induced by different DIBR synthesis methods. Seven state-of-the-art DIBR algorithms, including interview synthesis and single view based synthesis methods, are considered in this database. The quality of synthesized views was assessed subjectively by 41 observers and objectively using 14 state-of-the-art objective metrics. Subjective test results show that the interview synthesis methods, having more input information, significantly outperform the single view based ones. Correlation results between the tested objective metrics and the subjective scores on this database reveal that further studies are still needed for a better objective quality metric dedicated to the DIBR-synthesized views.

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“…This has boosted the development of view synthesis, which is employed to generate new views from existing views [2]. Depth-image-basedrendering (DIBR) is the most commonly used technique in view synthesis [3], which has great impact on the quality of synthesized views. Therefore, it is highly desirable to assess the quality of DIBR-synthesized images.…”

Section: Introductionmentioning

confidence: 99%

DIBR-Synthesized Image Quality Assessment via Statistics of Edge Intensity and Orientation

Zhou

et al. 2017

IEICE Trans. Inf. & Syst.

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SUMMARYDepth-image-based-rendering (DIBR) is a popular technique for view synthesis. The rendering process mainly introduces artifacts around edges, which leads to degraded quality. This letter proposes a DIBR-synthesized image quality metric by measuring the Statistics of both Edge Intensity and Orientation (SEIO). The Canny operator is first used to detect edges. Then the gradient maps are calculated, based on which the intensity and orientation of the edge pixels are computed for both the reference and synthesized images. The distance between the two intensity histograms and that between the two orientation histograms are computed. Finally, the two distances are pooled to obtain the overall quality score. Experimental results demonstrate the advantages of the presented method.

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Critical Binocular Asymmetry Measure for the Perceptual Quality Assessment of Synthesized Stereo 3D Images in View Synthesis

Cited by 43 publications

References 38 publications

Experimental investigation of the effect of binocular disparity on the visibility threshold of asymmetric noise in stereoscopic viewing

Experimental investigation of the effect of binocular disparity on the visibility threshold of asymmetric noise in stereoscopic viewing

A Benchmark of DIBR Synthesized View Quality Assessment Metrics on a New Database for Immersive Media Applications

DIBR-Synthesized Image Quality Assessment via Statistics of Edge Intensity and Orientation

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