Edge enhancement of remote sensing image data in the DCT domain

Biao Chen; Shahram Latifi; Junichi Kanai

doi:10.1117/12.316420

6 July 1998 Edge enhancement of remote sensing image data in the DCT domain

Biao Chen, Shahram Latifi, Junichi Kanai

Proceedings Volume 3387, Visual Information Processing VII; (1998) https://doi.org/10.1117/12.316420
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

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.

Citation Download Citation

Biao Chen, Shahram Latifi, and Junichi Kanai "Edge enhancement of remote sensing image data in the DCT domain", Proc. SPIE 3387, Visual Information Processing VII, (6 July 1998); https://doi.org/10.1117/12.316420

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