基于HVS和交叉掩蔽的彩色图像编码算法  

HVS and crossed masking based color image coding algorithm

作　　者：王向阳[1,2] 李玲[1] 

机构地区：[1]辽宁师范大学计算机与信息技术学院,辽宁大连116029 [2]北京大学视觉与听觉信息处理国家重点实验室,北京100871

出　　处：《计算机工程与应用》2010年第14期166-168,172,共4页Computer Engineering and Applications

基　　金：国家自然科学基金No.60773031;No.60873222~~

摘　　要：以层树分集(SPIHT)编码方案为基础,结合人类视觉系统(HVS)模型和人类视觉对彩色图像分量亮度和色度的不同敏感性,提出了一种基于非对称编码和交叉掩蔽的小波域彩色图像压缩编码算法。该算法首先将原始图像从RGB空间转换到YCbCr空间,然后对YCbCr空间的各分量进行离散小波变换;之后根据人类视觉对彩色图像的亮度分量的敏感性,用交叉掩蔽模型对亮度分量的小波系数进行加权处理;与此同时,利用非对称编码和SPIHT编码思想完成图像的压缩。仿真实验结果表明,文中算法是一种高效的图像压缩编码方法,其压缩效果明显优于SPIHT编码方案。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.

关 键 词：彩色图像编码 层树分集编码算法 人眼视觉系统 交叉掩蔽 加权 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]