High-Dynamic-Range Still-Image Encoding in JPEG 2000

  • Authors:
  • Ruifeng Xu;Sumanta N. Pattanaik;Charles E. Hughes

  • Affiliations:
  • University of Central Florida;University of Central Florida;University of Central Florida

  • Venue:
  • IEEE Computer Graphics and Applications
  • Year:
  • 2005

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Abstract

With the increasing use of high-dynamic-range (HDR) images, their storage and transmission motivate a careful study of appropriate data compression techniques. This article explores the use of JPEG 2000 in the compression of HDR still images. The authors first map the pixels from original floating-point values in the logarithm domain into integer values, and then encode the image using JPEG 2000 codec. This approach can compress an HDR image anywhere in the spectrum from very low bit rate to visually lossless. Our experiments demonstrate this to be a simple, effective and practical tool for HDR image encoding. At low bit rates, its compression quality is superior to other currently published techniques.