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Conference Publication

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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Current ETRO Authors

Mr. Ayyoub Ahar

+32 (0)02 629 169

aahar@etrovub.be

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Mr. Tobias Birnbaum

+32 (0)02 629 169

tbirnbau@etrovub.be

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Dr. David Blinder

+32 (0)02 629 169

dblinder@etrovub.be

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Miss Athanasia Symeonidou

+32 (0)02 629 169

asymeoni@etrovub.be

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Prof. Dr. Ir. Peter Schelkens

+32 (0)02 629 168

pschelke@etrovub.be

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