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Proceedings Paper

Low-complexity smoother (LO-COST) for low-bit-rate codecs
Author(s): Brian C. Davison
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Paper Abstract

A new low-complexity postprocessing algorithm is presented for enhancing noisy images in real time videoconferencing applications. The algorithm analyzes the image from the perspective of the human viewer, classifies pixels according to local characteristics, and applies combinations of linear and non-linear filters to each class. Edge pixels are sharpened, pixels near edges have a median filter applied to mitigate mosquito noise, and pixels in monotonous regions are smoothed to dampen blocking. The algorithm requires limited processing and can be used independently of the videoconferencing standard that is used. Objective analysis shows that errors are decreased for a majority of pixels. In subjective tests using low bit-rate coding standards, processed sequences were judged to significantly improve the image quality of the decoded sequences in all cases.

Paper Details

Date Published: 27 February 1996
PDF: 10 pages
Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); doi: 10.1117/12.233292
Show Author Affiliations
Brian C. Davison, Texas Instruments, Inc. (United States)

Published in SPIE Proceedings Vol. 2727:
Visual Communications and Image Processing '96
Rashid Ansari; Mark J. T. Smith, Editor(s)

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