基于人眼视觉特性的ROI渐进编码算法  

A progressive ROI image coding method based on human visual specialties

作　　者：沈美玲[1] 

机构地区：[1]武汉科技大学信息科学与工程学院电子信息系,武汉430081

出　　处：《信息技术》2012年第4期113-116,120,共5页Information Technology

摘　　要：一般基于感兴趣区域（ROI）的图像编码算法都没有充分考虑人眼视觉特性,在分析了JPEG2000中感兴趣区域编码的优缺点后,利用小波变换的特点并结合人眼视觉的掩蔽效应,提出了一种改进的ROI图像编码算法。首先将图像小波域中的所有低频系数进行移位处理,而对于小波域中的高频系数,仅对其属于ROI区域的系数进行移位处理,再利用等级树集合分割（SPIHT）算法进行编码传输。仿真实验证明了该算法比原有算法的图像主观质量更好。In conventional region of interest（ROI） image coding algorithms,human visual specialties are not taken into account.After analyzing the merits and demerits of JPEG2000 ROI coding,an improved algorithm based on the properties of wavelet transform and human visual specialties was proposed.Firstly,the lowest frequency coefficients were scaled up in an image wavelet domain,and in the other high frequency subbands,only the ROI coefficients were scaled up.After these scaled processing,the image was encoded by setting partitioning in hierarchical trees（SPIHT） algorithm for transmission.The experimental results show that the improved algorithm is effective and has better subject image quality.

关 键 词：人眼视觉特性 小波变换 感兴趣区域 渐进编码 

分 类 号：TN919.81[电子电信—通信与信息系统]