Color Image Enhancement Based on Luminance and Saturation Components

A new color image enhancement method is proposed based on the luminance component and the saturation component in the CIEXYZ color space. Hue is kept unchanged in order to avoid color distorting or shifting. According to the tricolor in the display system, saturation component is stretched to get rich color and obvious color differences. Luminance component is adaptive enhanced based on the saturation feedback to sharpen the edges and improve the image contrast. Experimental results show that the enhanced color image has more rich color, more clear details and better visual effect.

[1]  Sanjit K. Mitra,et al.  A new algorithm based on saturation and desaturation in the xy chromaticity diagram for enhancement and re-rendition of color images , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[2]  E.E. Pissaloux,et al.  Image Processing , 1994, Proceedings. Second Euromicro Workshop on Parallel and Distributed Processing.

[3]  S. Pei,et al.  Background Adjustment and Saturation Enhancement in Ancient Chinese Paintings , 2006, IEEE Transactions on Image Processing.

[4]  Jeffrey J. Rodríguez,et al.  Color image enhancement using spatially adaptive saturation feedback , 1997, Proceedings of International Conference on Image Processing.

[5]  Soo-Chang Pei,et al.  Virtual restoration of ancient Chinese paintings using color contrast enhancement and lacuna texture synthesis , 2004, IEEE Transactions on Image Processing.