DocumentCode :
57707
Title :
Content Adaptive Image Detail Enhancement
Author :
Fei Kou ; Weihai Chen ; Zhengguo Li ; Changyun Wen
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
Volume :
22
Issue :
2
fYear :
2015
fDate :
Feb. 2015
Firstpage :
211
Lastpage :
215
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.
Keywords :
adaptive signal processing; image enhancement; optimisation; base layer; color distortion reduction; computational photography; content adaptive image detail enhancement; detail layer amplification; edge preserving smoothing algorithm; image processing; source image decomposition; Algorithm design and analysis; Educational institutions; Image edge detection; Measurement; Optimization; Signal processing algorithms; Smoothing methods; ${L_0}$ norm; Detail enhancement; edge preserving; gradient field; image smoothing;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2014.2353774
Filename :
6892974
Link To Document :
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