Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP)
  • OSA Technical Digest (Optica Publishing Group, 2018),
  • paper JTu4A.10
  • https://doi.org/10.1364/3D.2018.JTu4A.10

Performance Evaluation of Sparseness Significance Ranking Measure (SSRM) on Holographic Content

Not Accessible

Your library or personal account may give you access

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 Article
More Like This
Evaluation of De-Noising Algorithms for Amplitude Image Restoration in Digital Holography

Silvio Montresor and Pascal Picart
JTu4A.8 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2018

Data Compression of Time-lapse Optical Coherence Tomography Images Based On Low-rank Plus Sparse Reconstruction

Yuye Ling, James P. McLean, and Christine P. Hendon
JW3A.35 Clinical and Translational Biophotonics (Translational) 2018

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2022 | Optica Publishing Group. All Rights Reserved