期刊名称：International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN：1975-0080
出版年度：2015
卷号：10
期号：8
页码：55-64
DOI：10.14257/ijmue.2015.10.8.06
出版社：SERSC
摘要：Image enhancement can improve the perception of information for human viewers, which is also a basic and pretty significant role in image processing. However, there also exist some limitations in most image enhancement algorithms. In this paper discuss the limitations of existing techniques of image enhancement. In order to solve the limitations well, a novel sparse code fusion (SCF) method is proposed, in which combine piecewise dictionaries strategy. The proposed method firstly is that color space conversion from RGB to Ycbcr color space, secondly enhanced Y component using piecewise sparse code fusion strategy, finally color image reconstruction. Experimental results show that our method can obtain more appealing perceptual quality than the state-of-the-art usual algorithms.
关键词：Image enhancement; Ycbcr color space; Sparse code; Image fusion
