Edge Enhancement of Remote Sensing Image Data in the DCT Domain

Document Type

Article

Publication Date

10-1999

Publication Title

Image and Vision Computing

Volume

17

Issue

12

First page number:

913

Last page number:

921

Abstract

Edge enhancement is an important image processing method for remote sensing image data. Many images are compressed by JPEG standard which uses Discrete Cosine Transform (DCT). Since most coefficients in the DCT domain are small and can be quantized to zero, manipulating data in the DCT domain is an efficient way to save the computer resources. In this paper, new and fast algorithms for edge enhancement of remote sensing image data in the DCT domain are developed and implemented in three steps: high pass filtering, adding back full or part of gray levels to the original image, and 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.

Keywords

Discrete cosine transforms; Image compression; Image processing; Remote-sensing images

Disciplines

Computer-Aided Engineering and Design | Engineering | Mechanical Engineering | Signal Processing

Language

English

Permissions

Use Find in Your Library, contact the author, or interlibrary loan to garner a copy of the item. Publisher policy does not allow archiving the final published version. If a post-print (author's peer-reviewed manuscript) is allowed and available, or publisher policy changes, the item will be deposited.

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