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.
© 2018 The Author(s)
PDF ArticleMore Like This
Silvio Montresor and Pascal Picart
JTu4A.8 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2018
Yuye Ling, James P. McLean, and Christine P. Hendon
JW3A.35 Clinical and Translational Biophotonics (Translational) 2018