CAJ | 학술논문

为解决结构相似度算法的图像质量评价缺陷，提出一种在小波域中，根据 CSF 的频率与方向加权的图像质量评价方法。该方法将图像的小波域多分辨率特性与 CSF 的带通特性有机的相结合，得到一种基于结构相似度的评价新方法。算法首先将频率归一化的 CSF 曲线按照1倍频程分解成5份，然后进行5级 CDF 9/7双正交小波分解与重构，得到一个低频子带 LL 和多个中高频子带 HHi 、HLi 及 LHi ，根据不同的频率，不同的方向分配不同的权重，分别与相应的子频带 SSIM 值相乘，然后累加运算，得到小波域的加权图像结构相似度 WWSSIM 。实验表明，WWSSIM 方法的单调性、一致性、准确性评价指标较高，更接近人类主观视觉感受。
위해결결구상사도산법적도상질량평개결함，제출일충재소파역중，근거 CSF 적빈솔여방향가권적도상질량평개방법。해방법장도상적소파역다분변솔특성여 CSF 적대통특성유궤적상결합，득도일충기우결구상사도적평개신방법。산법수선장빈솔귀일화적 CSF 곡선안조1배빈정분해성5빈，연후진행5급 CDF 9/7쌍정교소파분해여중구，득도일개저빈자대 LL 화다개중고빈자대 HHi 、HLi 급 LHi ，근거불동적빈솔，불동적방향분배불동적권중，분별여상응적자빈대 SSIM 치상승，연후루가운산，득도소파역적가권도상결구상사도 WWSSIM 。실험표명，WWSSIM 방법적단조성、일치성、준학성평개지표교고，경접근인류주관시각감수。
In order to solve the defects of SSIM algorithm for image quality evaluation ,frequency and direction weighed to CSF in Wavelet domain was proposed .This method organic combination the multi-resolution characteristics of wavelet with band-pass characteristic of CSF curve ,and get a new algorithm based on SSIM .Firstly ,the frequency normalized CSF curves according to 1 octave level into five parts ,and then 5 levels CDF 9/7 pairs of orthogonal wavelet decomposition and reconstruction ,to get a low-frequency sub-band LL and a plurality of medium or high frequency sub-band HHi ,HLi and LHi ,then assign different weights ac-cording to different frequencies ,different directions ,which were multiplied with the corresponding sub-band SSIM values ,and then do accumulate operations to obtain the weighted structural similarity in wavelet domain named WWSSIM .Experiments show that WWSSIM algorithm has high monotonicity ,consistency ,accuracy ,and closer to human subjective visual experience .