Contrast Enhancement Algorithm Using Singular Value Decomposition and Image Pyramid 


Vol. 38,  No. 11, pp. 928-937, Nov.  2013


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  Abstract

This paper presents a novel contrast enhancement method based on singular value decomposition and image pyramid. The proposed method consists mainly of four steps. The proposed algorithm firstly decomposes image into band-pass images, including basis image and detail images, to improve both the global contrast and the local detail. In the global contrast process, singular value decomposition is used for contrast enhancement; the local detail scheme uses weighting factors. In the final image composition process, the proposed algorithm combines color and luminance components in order to preserve the color consistency. Experimental results show that the proposed algorithm improves contrast performance and enhances detail compared to conventional methods.

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  Cite this article

[IEEE Style]

C. Ha, C. Choi, J. Jeong, "Contrast Enhancement Algorithm Using Singular Value Decomposition and Image Pyramid," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 11, pp. 928-937, 2013. DOI: .

[ACM Style]

Changwoo Ha, Changryoul Choi, and Jechang Jeong. 2013. Contrast Enhancement Algorithm Using Singular Value Decomposition and Image Pyramid. The Journal of Korean Institute of Communications and Information Sciences, 38, 11, (2013), 928-937. DOI: .

[KICS Style]

Changwoo Ha, Changryoul Choi, Jechang Jeong, "Contrast Enhancement Algorithm Using Singular Value Decomposition and Image Pyramid," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 11, pp. 928-937, 11. 2013.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880