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Optical Engineering

Image encoding scheme in an edge field with the Laplacian operator
Author(s): Gee-Hyuk Lee; Dong-Woo Kim; Sang-Baek Han; Soo-Yong Kim
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Paper Abstract

Most of the existing lossy encoding schemes rely on the stochastic image model with a spatially uniform correlation and show decreasing performance as sharp edge features increase in images. To cope with images where sharp edge features convey more important information, a relatively new encoding scheme utilizing a Laplacian edge detector is proposed and experimented with prototype sample images. In this scheme, the Laplacian operator is applied to an image to get a corresponding edge field and, in turn, the edge field is encoded with the Huffman code. A quantization, a fundamental information reduction step, is also carried out in the edge field, and the corresponding error field, the overall intensity variations, is approximated with some discrete sine transform coefficients. A compression ratio up to 5 or 6 can be achieved with the current implementation without a severe degradation of image quality. An implementation with an image divided into tiles and an extension to an hierarchical model will be studied in the future.

Paper Details

Date Published: 1 January 1995
PDF: 12 pages
Opt. Eng. 34(1) doi: 10.1117/12.188320
Published in: Optical Engineering Volume 34, Issue 1
Show Author Affiliations
Gee-Hyuk Lee, Korea Advanced Institute of Science and Technology (South Korea)
Dong-Woo Kim, Korea Advanced Institute of Science and Technology (South Korea)
Sang-Baek Han, Korea Advanced Institute of Science and Technology (South Korea)
Soo-Yong Kim, Korea Advanced Institute of Science and Technology (South Korea)


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