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30 May 2000 Perceptually most significant edge detection algorithm for object-based coding
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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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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