Psychophysical evaluations for both color image compression and watermarking

Christine Fernandez-Maloigne; Mohamed-Chaker Larabi; Philippe Carre; Alice Parisis; Adrian Stoica

doi:10.1117/12.512549

19 November 2003 Psychophysical evaluations for both color image compression and watermarking

Christine Fernandez-Maloigne, Mohamed-Chaker Larabi, Philippe Carre, Alice Parisis, Adrian Stoica

Proceedings Volume 5203, Applications of Digital Image Processing XXVI; (2003) https://doi.org/10.1117/12.512549
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

Abstract

This paper addresses the problem of quality assessment dedicated to two important applications : image compression and watermarking. This topic is nowadays of a great interest because of the limitations of the mathematical criteria used formerly for quality assessment. The main aspect of this paper is the use of psychophysical experiences in order to take into account the capacities of the Human Visual System. Two campaigns have been taken for assess quality for both compression and watermarking. The main conclusion of this work is that the metrics used to assess quality such as the PSNR are very far from the human judgment and consequently from the real assessment.

Citation Download Citation

Christine Fernandez-Maloigne, Mohamed-Chaker Larabi, Philippe Carre, Alice Parisis, and Adrian Stoica "Psychophysical evaluations for both color image compression and watermarking", Proc. SPIE 5203, Applications of Digital Image Processing XXVI, (19 November 2003); https://doi.org/10.1117/12.512549

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available