Content Adaptive Image Detail Enhancement

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...

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Bibliographic Details
Published inIEEE signal processing letters Vol. 22; no. 2; pp. 211 - 215
Main Authors Kou, Fei, Chen, Weihai, Li, Zhengguo, Wen, Changyun
Format Journal Article
LanguageEnglish
Published New York IEEE 01.02.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithm design and analysis
Algorithms
Amplification
Color
Detail enhancement
Distortion
edge preserving
Educational institutions
gradient field
Image edge detection
Image enhancement
image smoothing
Measurement
Norms
Optimization
Photography
Preserves
Signal processing algorithms
Smoothing methods
{L_0} norm
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Summary: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 L 0 norm based detail enhancement algorithm which generates the detail-enhanced image directly. The proposed algorithm preserves sharp edges better than an existing L 0 norm based algorithm. Experimental results show that the proposed algorithm reduces color distortion in the detail-enhanced image, especially around sharp edges.
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ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2014.2353774