Journal ArticleDOI
A perceptual metric for stereoscopic image quality assessment based on the binocular energy
TLDR
A full reference metric for quality assessment of stereoscopic images based on the binocular fusion process characterizing the 3D human perception is proposed and the difference of binocular energy has shown a high correlation with the human judgement for different impairments and is used to build the Binocular Energy Quality Metric (BEQM).Abstract:
Stereoscopic imaging is becoming very popular and its deployment by means of photography, television, cinema. . .is rapidly increasing. Obviously, the access to this type of images imposes the use of compression and transmission that may generate artifacts of different natures. Consequently, it is important to have appropriate tools to measure the quality of stereoscopic content. Several studies tried to extend well-known metrics, such as the PSNR or SSIM, to 3D. However, the results are not as good as for 2D images and it becomes important to have metrics dealing with 3D perception. In this work, we propose a full reference metric for quality assessment of stereoscopic images based on the binocular fusion process characterizing the 3D human perception. The main idea consists of the development of a model allowing to reproduce the binocular signal generated by simple and complex cells, and to estimate the associated binocular energy. The difference of binocular energy has shown a high correlation with the human judgement for different impairments and is used to build the Binocular Energy Quality Metric (BEQM). Extensive experiments demonstrated the performance of the BEQM with regards to literature.read more
Citations
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Journal ArticleDOI
A no-Reference Stereoscopic Image Quality Assessment Network Based on Binocular Interaction and Fusion Mechanisms
TL;DR: In this paper , a hierarchical no-reference stereoscopic image quality assessment network (StereoIF-Net) is proposed to simulate the whole quality perception of 3D visual signals in human cortex, including two key modules: BIM and BFM.
Journal ArticleDOI
Combining Global and Local Feature Analyses for Quality Evaluation of Tone-Mapped HDR Images
TL;DR: A no reference (NR) quality evaluation method for tone-mapped (TM) HDR images based on global and local feature analyses that outmatches several mainstream NR image quality assessment methods designed for both natural scene images and TM HDR images.
Proceedings ArticleDOI
A ‘Complete Blind’ No-Reference Stereoscopic Image Quality Assessment Algorithm
TL;DR: The proposed algorithm, which is a ‘complete blind’ model (neither requires pristine S3D images nor requires training on human opinion scores), is called the Multi-Orient NIQE based 3D image quality evaluator (MO-NIQE) and demonstrates its robust performance on both the datasets and across distortions.
Proceedings ArticleDOI
A Spatial-Temporal Weighted Method for Asymmetrically Distorted Stereo Video Quality Assessment
TL;DR: This work designs a binocular rivalry inspired model considering both spatial and temporal perceptual information to integrate 2D video perceptual quality of both views into the assessment of 3D video quality.
Dissertation
Objective assessment of stereoscopic video quality of 3DTV
TL;DR: The first part of the thesis investigates whether visual attention of the viewers should be considered when designing an objective 3D quality metrics and the design of an objective model of 3D video QoE, which is based on human perceptual thresholds and acceptability level.
References
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Journal ArticleDOI
Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
David H. Hubel,Torsten N. Wiesel +1 more
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Journal ArticleDOI
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Journal ArticleDOI
Spatiotemporal energy models for the perception of motion
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Journal ArticleDOI
Image information and visual quality
Hamid R. Sheikh,Alan C. Bovik +1 more
TL;DR: An image information measure is proposed that quantifies the information that is present in the reference image and how much of this reference information can be extracted from the distorted image and combined these two quantities form a visual information fidelity measure for image QA.