Improved multiscale image enhancement via Laplacian pyramid

Tao Mei; Qinghua Huang; Heqin Zhou; He Zhao; Huanqing Feng

doi:10.1117/12.477172

31 July 2002 Improved multiscale image enhancement via Laplacian pyramid

Tao Mei, Qinghua Huang, Heqin Zhou, He Zhao, Huanqing Feng

Proceedings Volume 4875, Second International Conference on Image and Graphics; (2002) https://doi.org/10.1117/12.477172
Event: Second International Conference on Image and Graphics, 2002, Hefei, China

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.

Citation Download Citation

Tao Mei, Qinghua Huang, Heqin Zhou, He Zhao, and Huanqing Feng "Improved multiscale image enhancement via Laplacian pyramid", Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); https://doi.org/10.1117/12.477172

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