Paper
27 February 1996 Low-complexity smoother (LO-COST) for low-bit-rate codecs
Brian C. Davison
Author Affiliations +
Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996) https://doi.org/10.1117/12.233292
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brian C. Davison "Low-complexity smoother (LO-COST) for low-bit-rate codecs", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); https://doi.org/10.1117/12.233292
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KEYWORDS
Digital filtering

Edge detection

Image filtering

Image processing

Signal to noise ratio

Digital signal processing

Image quality standards

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