Tone mapping-based high-dynamic-range image compression: study of optimization criterion and perceptual quality

Manish Narwaria; Matthieu P. Da Silva; Patrick Le Callet; Romuald Pepion

doi:10.1117/1.OE.52.10.102008

28 October 2013 Tone mapping-based high-dynamic-range image compression: study of optimization criterion and perceptual quality

Manish Narwaria, Matthieu P. Da Silva, Patrick Le Callet, Romuald Pepion

Author Affiliations +

Optical Engineering, Vol. 52, Issue 10, 102008 (October 2013). https://doi.org/10.1117/1.OE.52.10.102008

Abstract

We study the issue of quality assessment in tone mapping-based high-dynamic-range (HDR) image compression. In this, there are two stages at which a decision should be made regarding perceptual visual quality: (a) for finding the optimal parameters of the dynamic range reduction function so that the visual quality is maximized, and (b) visual quality judgment of the decompressed image. We first investigate two objective optimization criteria, namely mean squared error and structural similarity index measure, toward optimization of a tone mapping model-based HDR image compression method. We then conduct a comprehensive subjective study to evaluate the visual quality of the compressed HDR images. Therefore, we consider both objective and subjective aspects for HDR image compression. To our knowledge, no systematic and comprehensive studies exist in the current literature which shed light on the issue of quality assessment in HDR compression. So this study brings in new knowledge and perspective for the relatively less investigated topic of HDR compression from the view point of perceptual quality. We further evaluate the prediction performances of four objective methods on the 140 compressed HDR images that have been subjectively rated.

Citation Download Citation

Manish Narwaria, Matthieu P. Da Silva, Patrick Le Callet, and Romuald Pepion "Tone mapping-based high-dynamic-range image compression: study of optimization criterion and perceptual quality," Optical Engineering 52(10), 102008 (28 October 2013). https://doi.org/10.1117/1.OE.52.10.102008

Published: 28 October 2013

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