HVS and crossed masking based color image coding algorithm
Ling Li · Computer Engineering and Applications Journal · 2010
Based on SPIHT coding scheme,a new color image coding algorithm based on asymmetric compression and the crossed masking in DWT domain is proposed,in which Human Visual System(HVS) model and human's sensitivity to different components of color image,such as chrominance and luminance,is utilized.Firstly,a digital color image is converted to YCbCr space from RGB space,and the discrete wavelet transform is performed on every components of YCbCr space.Secondly,the wavelet coefficients of the luminance components are weighted using the crossed masking model,according to human's sensitivity to luminance components.At the same time,the coding is made by applying the idea of asymmetric compression and SPIHT.Experimental results show that the proposed technique improves the quality of the reconstructed image in both PSNR and perceptual result,compared to SPIHT at the same bit rate.