1 September 2004 Scale-based image enhancement using modified anisotropic diffusion filter
Young Chul Song, Doo-Hyun Choi
Author Affiliations +
Abstract
We propose a scale-based image enhancement method using a modified anisotropic diffusion filter that employs sensor noise estimation and scale space methods based on a minimum reliable scale. Based on the relationship between the local gradient and the critical value function, an image is classified into various scales representing the region's complexity. The degree of enhancement is then adjusted according to each region's complexity. When compared to the existing linear unsharp masking, adaptive unsharp masking, and warping-based methods, the proposed algorithm produces negligible noise amplification in homogeneous regions and superior edge enhancement.
©(2004) Society of Photo-Optical Instrumentation Engineers (SPIE)
Young Chul Song and Doo-Hyun Choi "Scale-based image enhancement using modified anisotropic diffusion filter," Optical Engineering 43(9), (1 September 2004). https://doi.org/10.1117/1.1778730
Published: 1 September 2004
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Image enhancement

Image filtering

Anisotropic filtering

Anisotropic diffusion

Diffusion

Image segmentation

Linear filtering

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