Sparsity based stereoscopic image quality assessment

Khan, Md S and Channappayya, Sumohana (2016) Sparsity based stereoscopic image quality assessment. In: 50th Asilomar Conference on Signals, Systems and Computers (ACSSC), 6-9 November, 2016, United States.

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In this work, we present a full-reference stereo image quality assessment algorithm that is based on the sparse representations of luminance images and depth maps. The primary challenge lies in dealing with the sparsity of disparity maps in conjunction with the sparsity of luminance images. Although analysing the sparsity of images is sufficient to bring out the quality of luminance images, the effectiveness of sparsity in quantifying depth quality is yet to be fully understood. We present a full reference Sparsity-based Quality Assessment of Stereo Images (SQASI) that is aimed at this understanding.

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IITH Creators:
IITH CreatorsORCiD
Channappayya, SumohanaUNSPECIFIED
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Luminance; Stereo image processing Depth Map; Disparity map; Full references; Luminance images; Quality assessment; Sparse representation; Stereo-image; Stereoscopic image quality assessments
Subjects: Others > Electricity
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 17 Apr 2017 09:58
Last Modified: 19 Jul 2018 07:12
Publisher URL:
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