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Proceedings Paper

Edge enhancement of remote sensing image data in the DCT domain
Author(s): Biao Chen; Shahram Latifi; Junichi Kanai
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Paper Abstract

Edge Enhancement is an important image processing method for remote sensing image data. Many images are compressed by JPEG standard which uses the Discrete Cosine Transform (DCT). Manipulating data in the DCT domain is an efficient way to save the computer resources. In this paper, new algorithms for edge enhancement of remote sensing image data in the DCT domain are developed and implemented in three steps: highpass filtering, adding back full or part of gray levels to the original image, and linear contrast stretching. In addition, a method to approximate the minimum (MIN) and maximum (MAX) gray level intensity is presented in the paper, which are the necessary information for contrast stretching. Experimental results show that the quality of images generated by the new algorithms are comparable with that of images generated by the corresponding methods in the spatial domain.

Paper Details

Date Published: 6 July 1998
PDF: 11 pages
Proc. SPIE 3387, Visual Information Processing VII, (6 July 1998); doi: 10.1117/12.316420
Show Author Affiliations
Biao Chen, Univ. of Nevada/Las Vegas (United States)
Shahram Latifi, Univ. of Nevada/Las Vegas (United States)
Junichi Kanai, Information Science Research Institute (United States)


Published in SPIE Proceedings Vol. 3387:
Visual Information Processing VII
Stephen K. Park; Richard D. Juday, Editor(s)

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