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An Efficient Sparse Code Fusion Method for Image Enhancement

초록

영어

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

목차

Abstract
 1. Introduction
 2. Methodology
  2.1 Conversion of RGB to Ycbcr Color Space
  2.2 The Proposed SCF Method
  2.3 Color Image Reconstruction
 3. Experimental Results
 4. Conclusions
 Acknowledgements
 References

저자정보

  • Jia Li School of Computer, China West Normal University, Nan Chong, 637009, P.R China
  • Yi Dong Library, China West Normal University, Nan Chong, 637009, P.R China
  • Fangyuan Jiao School of Computer, China West Normal University, Nan Chong, 637009, P.R China

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