Content Adaptive Image Detail Enhancement

Content Adaptive Image Detail Enhancement
Title:
Content Adaptive Image Detail Enhancement
Other Titles:
IEEE Signal Processing Letters
Publication Date:
05 September 2014
Citation:
F. Kou, W. Chen, Z. Li and C. Wen, "Content Adaptive Image Detail Enhancement," in IEEE Signal Processing Letters, vol. 22, no. 2, pp. 211-215, Feb. 2015. doi: 10.1109/LSP.2014.2353774
Abstract:
Detail enhancement is required by many problems in the fields of image processing and computational photography. Existing detail enhancement algorithms first decompose a source image into a base layer and a detail layer via an edge-preserving smoothing algorithm, and then amplify the detail layer to produce a detail-enhanced image. In this letter, we propose a new L0 norm based detail enhancement algorithm which generates the detail-enhanced image directly. The proposed algorithm preserves sharp edges better than an existing L0 norm based algorithm. Experimental results show that the proposed algorithm reduces color distortion in the detail-enhanced image, especially around sharp edges.
License type:
PublisherCopyrights
Funding Info:
Description:
(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
ISSN:
1070-9908
1558-2361
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