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Performance Evaluation of Sparseness Significance Ranking Measure (SSRM) on Holographic Content Host Publication: OSA Digital Holography and Three-Dimensional Imaging Authors: A. Ahar, T. Birnbaum, D. Blinder, A. Symeonidou and P. Schelkens Publisher: Optical Society of America Publication Date: Jun. 2018 Number of Pages: 2
Abstract: The Sparseness Significance Ranking Measure (SSRM) was recently proposed as full reference quality measure for regular images. In this paper, we evaluate its performance on holographic content in comparison to MSE, PSNR and the Versatile Similarity Measure (VSM). The experimental results based on subjective quality assessment show a significant gain over the classical methods.
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