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Proceedings Paper

Improved multiscale image enhancement via Laplacian pyramid
Author(s): Tao Mei; Qinghua Huang; Heqin Zhou; He Zhao; Huanqing Feng
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Paper Abstract

An improved multiscale image enhancement algorithm based on Laplacian pyramid (LP) is described. At each scale of the LP, the local variance threshold and relative enhancement are implemented by modifying the detail coefficients of the LP nonlinearly. With the local variance threshold, contrast enhancement occurs in high detail areas and little or no image sharpening occurs in smooth areas. And the objective of relative enhancement is to enhance the details with lower magnitude more than the details with higher magnitude in each scale of the LP. Since the low scales of the LP have subtler image features, we modify the local variance threshold and relative enhancement to take the different significance of different scale into account. So the low scales are more enhanced than the high ones. The given enhancement algorithm is simple to implement and suitable for generic image including CT and X-ray images. Experimental results show that the contrast improvement ratios of most images are increased while preserving the good visual assessment of original image.

Paper Details

Date Published: 31 July 2002
PDF: 6 pages
Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); doi: 10.1117/12.477172
Show Author Affiliations
Tao Mei, Univ. of Science and Technology of China (China)
Qinghua Huang, Univ. of Science and Technology of China (China)
Heqin Zhou, Univ. of Science and Technology of China (China)
He Zhao, Univ. of Science and Technology of China (China)
Huanqing Feng, Univ. of Science and Technology of China (China)


Published in SPIE Proceedings Vol. 4875:
Second International Conference on Image and Graphics
Wei Sui, Editor(s)

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