Share Email Print

Proceedings Paper

Image analysis for adaptive noise reduction in super high-definition image coding
Author(s): V. Ralph Algazi; Todd Randall Reed; Gary E. Ford; Robert R. Estes; Ashar Najmi
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The encoding of Super High Definition Images presents new problems with regard to the effect of noise on the quality of images and on coding performance. Although the information content of images decreases with increasing resolution, the noise introduced in the image acquisition or scanning process, remains at a high level, independently of resolution. Although this noise may not be perceptible in the original image, it will effect the quality of the encoded image, if the encoding process introduces correlation and structure in the coded noise. Further, the coder performance will be affected by the noise, even if the noise is not perceived. Therefore, there is a need to reduce the noise by pre-processing the SHD image, so as to maintain image quality and improve the encoding process. The reduction of noise cannot be performed by low pass filtering operations that will degrade image quality. We are applying to this problem image analysis for adaptive noise removal. We discuss first the information theoretic issues on the effect of noise on coders. We then consider adaptive noise removal techniques to the perceptually transparent and very high quality coding of still SHD images.

Paper Details

Date Published: 1 November 1992
PDF: 10 pages
Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); doi: 10.1117/12.131492
Show Author Affiliations
V. Ralph Algazi, Univ. of California/Davis (United States)
Todd Randall Reed, Univ. of California/Davis (United States)
Gary E. Ford, Univ. of California/Davis (United States)
Robert R. Estes, Univ. of California/Davis (United States)
Ashar Najmi, Eastman Kodak Co. (United States)

Published in SPIE Proceedings Vol. 1818:
Visual Communications and Image Processing '92
Petros Maragos, Editor(s)

© SPIE. Terms of Use
Back to Top