JOURNAL ARTICLE

JPEG-HDR: A Backwards-Compatible, High Dynamic Range Extension to JPEG

Greg WardMaryann Simmons

Year: 2005 Journal:   Color and Imaging Conference Vol: 13 (1)Pages: 283-290

Abstract

The transition from traditional 24-bit RGB to high dynamic range (HDR) images is hindered by excessively large file formats with no backwards compatibility. In this paper, we demonstrate a simple approach to HDR encoding that parallels the evolution of color television from its grayscale beginnings. A tone-mapped version of each HDR original is accompanied by restorative information carried in a subband of a standard output-referred image. This subband contains a compressed ratio image, which when multiplied by the tone-mapped foreground, recovers the HDR original. The tone-mapped image data is also compressed, and the composite is delivered in a standard JPEG wrapper. To naïve software, the image looks like any other, and displays as a tone-mapped version of the original. To HDR-enabled software, the foreground image is merely a tone-mapping suggestion, as the original pixel data are available by decoding the information in the subband. Our method further extends the color range to encompass the visible gamut, enabling a new generation of display devices that are just beginning to enter the market.

Keywords:
Tone mapping JPEG High dynamic range Computer science Gamut Computer graphics (images) Computer vision Artificial intelligence RGB color model Backward compatibility Tone (literature) Pixel Grayscale Image file formats Color depth Image compression JPEG 2000 Software Dynamic range Data compression Color image Image processing Image (mathematics)

Metrics

41
Cited By
2.26
FWCI (Field Weighted Citation Impact)
21
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image Enhancement Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Color Science and Applications
Physical Sciences →  Physics and Astronomy →  Atomic and Molecular Physics, and Optics
Computer Graphics and Visualization Techniques
Physical Sciences →  Computer Science →  Computer Graphics and Computer-Aided Design

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