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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 38, Iss. 26 — Sep. 10, 1999
  • pp: 5560–5567

Image compression in signal-dependent noise

Rubeena Shahnaz, John F. Walkup, and Thomas F. Krile  »View Author Affiliations


Applied Optics, Vol. 38, Issue 26, pp. 5560-5567 (1999)
http://dx.doi.org/10.1364/AO.38.005560


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Abstract

The performance of an image compression scheme is affected by the presence of noise, and the achievable compression may be reduced significantly. We investigated the effects of specific signal-dependent-noise (SDN) sources, such as film-grain and speckle noise, on image compression, using JPEG (Joint Photographic Experts Group) standard image compression. For the improvement of compression ratios noisy images are preprocessed for noise suppression before compression is applied. Two approaches are employed for noise suppression. In one approach an estimator designed specifically for the SDN model is used. In an alternate approach, the noise is first transformed into signal-independent noise (SIN) and then an estimator designed for SIN is employed. The performances of these two schemes are compared. The compression results achieved for noiseless, noisy, and restored images are also presented.

© 1999 Optical Society of America

OCIS Codes
(100.0100) Image processing : Image processing
(100.2000) Image processing : Digital image processing
(110.4280) Imaging systems : Noise in imaging systems

History
Original Manuscript: June 24, 1998
Revised Manuscript: January 4, 1999
Published: September 10, 1999

Citation
Rubeena Shahnaz, John F. Walkup, and Thomas F. Krile, "Image compression in signal-dependent noise," Appl. Opt. 38, 5560-5567 (1999)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-38-26-5560


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