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
Parts-based stereoscopic image assessment by learning binocular manifold color visual properties
TL;DR: The experimental results on LIVE I and LIVE Π 3-D IQA databases demonstrate that the proposed SIQA method can achieve much higher consistency with subjective evaluations than the state-of-the-artSIQA methods.
Proceedings ArticleDOI
A survey of 3D image quality metrics for relief print evaluation
TL;DR: A survey of research related to the assessment of image quality metrics of 2.5D and 3D prints finds that the ability of combining relief and glossiness in printouts created by a prototype printer that uses multiple layers of ink and varnish is still unknown.
Proceedings ArticleDOI
An quality metric for 3D rendered image based on stereo saliency and structural similarity
TL;DR: An objective quality metric based on stereo saliency and structural similarity for the rendered image which is produced by depth image based rendering (DIBR) method, which achieves a high correlation with subjective perception.
Proceedings ArticleDOI
Blind Stereopair Quality Assessment Using Statistics of Monocular and Binocular Image Structures
TL;DR: A no-reference (NR) quality predictor for stereoscopic/3D images based on statistics aggregation of monocular and binocular local contrast features that achieves high quality prediction accuracy and competitive performance compared to state-of-the-art methods.
Proceedings ArticleDOI
New reduced-reference objective stereo image quality assessment model based on human visual system
TL;DR: Experimental result shows that the proposed model outperforms some other models, and its correlation coefficients of assessment versus the subjective perception are satisfactory over five types of distortion, including JPEG, JPEG2000, Gaussian blur, white Gaussian noise and Fast-fading.
References
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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.