JOURNAL ARTICLE

Content Adaptive Image Detail Enhancement

Fei KouWeihai ChenZhengguo LiChangyun Wen

Year: 2014 Journal:   IEEE Signal Processing Letters Vol: 22 (2)Pages: 211-215   Publisher: Institute of Electrical and Electronics Engineers

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 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.

Keywords:
Computer science Smoothing Image (mathematics) Algorithm Distortion (music) Norm (philosophy) Image processing Enhanced Data Rates for GSM Evolution Artificial intelligence Computer vision Bandwidth (computing)

Metrics

54
Cited By
3.13
FWCI (Field Weighted Citation Impact)
25
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image Enhancement Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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