Real-color Image Denoised and Enhanced Synchronously Based on Wavelet Transform
Real color images are images with noise. The application of gray-scale image enhancement methods in the three-channel of images (R,G,B), on the one hand, increased noise, on the other hand, tended to have a color deviation, which impacted the effect of enhancement.In view of human visual system is more sensitive to lightness than hue, saturation and noise affects lightness more than a,b color channel in CIELab space.It proposed a method of image denoised and enhanced in CIELab space. In this paper, we transform a real color image from RGB space to CIELab space at first,then maintain a,b channel unchanged, decompose lightness channel into high frequency and low frequency information using wavelet transform. And then it directly compresses dynamic range of the j-scale low frequency information based on a new lliumination-Reflectance Model ,uses new threshold function to denoise in all scale high frequency information. At last,it transforms into a real color images from CIELab space to RGB space. Experiments show that image has a good dynamic compression range and slight color deviation,which improve the visual effects and the true effects of color.
real-color image CIELab space wavelet transform denoising and enhancement
HAN Li-na GENG Guo-hua XIONG Jie Xie Zheng-long
Institute of Visualization Technology Northwest University(NWU) xian 710127,china School of Informa Institute of Visualization Technology Northwest University(NWU) xian 710127,china School of Information Engineering Xian Yang Normal College (XYNC),XianYang,712100 ,china
国际会议
长沙
英文
658-661
2009-10-10（万方平台首次上网日期，不代表论文的发表时间）