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.
Original languageEnglish
Title of host publication3D Image Acquisition and Display
Subtitle of host publicationTechnology, Perception and Applications, 3D 2018
PublisherOptical Society of America
Number of pages2
VolumePart F95-3D 2018
ISBN (Electronic)9781557528209
Publication statusPublished - Jun 2018
EventOSA Digital Holography and Three-Dimensional Imaging - Wyndham Resort, Orlando, United States
Duration: 25 Jun 201828 Jun 2018

Publication series

NameOSA Technical Digest


ConferenceOSA Digital Holography and Three-Dimensional Imaging
CountryUnited States

    Research areas

  • Holography, Quality Assessment

ID: 38500759