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
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.