Paper
16 September 1994 Contour simplification by a new nonlinear filter for region-based coding
Chuang Gu, Murat Kunt
Author Affiliations +
Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185877
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States
Abstract
The guiding principle of this study is to find an optimum way to simplify the contours produced by a second generation coding scheme based on morphological segmentation. For this purpose, evaluations of existing methods for contour simplification are carried out first. Based on the human visual phenomenon, a new nonlinear filter by means of majority operation is designed to simplify the contours in order to obtain an optimum compromise between the cost for contour coding and visual quality. Applications for region-based still image coding and video coding are demonstrated. Experimental results have shown an average of 20% reduction of bits for contour coding while keeping good visual quality.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chuang Gu and Murat Kunt "Contour simplification by a new nonlinear filter for region-based coding", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.185877
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Cited by 10 scholarly publications.
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KEYWORDS
Image segmentation

Image compression

Nonlinear filtering

Image filtering

Visualization

Image processing algorithms and systems

Mathematical morphology

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