RESEARCH ARTICLE


A Wavelet-Based Encoding Algorithm for High Dynamic Range Images



Frank Y. Shih*, Yuan Yuan
Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102, USA


© 2010 Shih and Yuan.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102, USA; Tel: 973-596-5654; Fax: 973-596-5777; E-mail: aappln@ku.ac.th, p_vaithanomsat@yahoo.com


Abstract

High Dynamic Range (HDR) images use a wider range of intensity values than the common Limited Dynamic Range (LDR) images. Because of this, handling HDR images requires a great deal of information to be stored and transferred. To represent and display HDR images efficiently, a trade-off needs to be balanced between size and accuracy. We present a new wavelet-based algorithm for encoding HDR images, so that their data are feasible in the internet-based society for image communication. Experiments are conducted using the library provided by the Munsell Color Science Laboratory of Rochester Institute of Technology and HDR Images provided by Industrial Light and Magic (ILM, a motion picture visual effects company). Experimental results show that the encoded format is able to achieve a good balance between visual quality and image size for internet users.

Keywords: Image representation, Image compression, High dynamic range.