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Proceedings Paper

Perceptually most significant edge detection algorithm for object-based coding
Author(s): Shan Suthaharan; Hong Ren Wu; K. R. Rao
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Paper Abstract

The latest digital image coding technique known as the object-based coding is mainly relied on efficient segmentation algorithms. In this paper an edge detail detection technique has been proposed and it can segment the image into objects that are perceptually meaningful. It is a transform domain technique and it makes use of perceptual characteristics, such as frequency distribution decomposition and edge structure decomposition, of transform coefficients thus it detects the perceptually most significant edge details which are useful for segmentation in object-based coding and compression. An experiment has also been conducted to test its robustness to image compression.

Paper Details

Date Published: 30 May 2000
PDF: 8 pages
Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); doi: 10.1117/12.386650
Show Author Affiliations
Shan Suthaharan, Tennessee State Univ. (United States)
Hong Ren Wu, Monash Univ. (Australia)
K. R. Rao, Univ. of Texas/Arlington (United States)

Published in SPIE Proceedings Vol. 4067:
Visual Communications and Image Processing 2000
King N. Ngan; Thomas Sikora; Ming-Ting Sun, Editor(s)

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