High dynamic range image compression with improved logarithmic transformation

• Sumizawa Masahide

  Graduate School of Informatics and Engineering, The University of Electro-Communications

• Zhang Xi

  Graduate School of Informatics and Engineering, The University of Electro-Communications

Abstract

High dynamic range (HDR) images have been developed to have almost the same dynamic range as human eye, but the huge amount of data brings a problem in storage and transmission. To compress HDR images, an efficient coding method using logarithmic transformation had been proposed in [4]. In this letter, we improve the logarithmic transformation and then derive the optimal parameter to minimize the coding error in HDR region. It is experimentally confirmed that the improved coding method has less coding error in HDR region than other existing methods.

Journal

• IEICE Communications Express

  IEICE Communications Express 6 (1), 17-21, 2017

  The Institute of Electronics, Information and Communication Engineers

Keywords

• HDR image
• lossy coding
• logarithmic transformation
• JPEG 2000

Details

• CRID: 1390001205414810240
• NII Article ID: 130005239786
• DOI: 10.1587/comex.2016xbl0148
• ISSN: 21870136
• Web Site: https://www.jstage.jst.go.jp/article/comex/6/1/6_2016XBL0148/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed