Perceptually most significant edge detection algorithm for object-based coding

Shan Suthaharan; Hong Ren Wu; K. R. Rao

doi:10.1117/12.386650

30 May 2000 Perceptually most significant edge detection algorithm for object-based coding

Shan Suthaharan, Hong Ren Wu, K. R. Rao

Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000) https://doi.org/10.1117/12.386650
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia

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.

Citation Download Citation

Shan Suthaharan, Hong Ren Wu, and K. R. Rao "Perceptually most significant edge detection algorithm for object-based coding", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); https://doi.org/10.1117/12.386650

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