摘要
立体图像质量评价是图像处理领域中一项重要技术,现有的2D图像质量评价方法并不能很好地应用于立体图像。为了更好地评价立体图像质量,提出了一种基于小波变换提取左右图像及其合成图像特征的无参考立体图像质量评价方法。该方法首先通过对失真的立体左右图像计算合成图像;再通过小波分解提取左右图像及其合成图像的小波系数,获取小波子带能量作为立体图像质量感知特征;最后通过支持向量回归建立立体图像特征与主观得分的关系模型,来预测和得到立体图像质量的客观评价得分。实验结果表明,与现有无参考立体图像质量评价方法相比较,该客观评价模型可以获得更好的主观感知一致性,更加符合人眼视觉系统。
Stereoscopic image quality assessment is an important field of image processing, and existing no-reference quality assessment method of 2D image cannot be well used in stereoscopic images. To evaluate the stereoscopic image quality, we presented a no-reference stereoscopic image quality assessment method based on wavelet transform. Firstly, the ＂Cyclopean＂ images are gained using Gabor and SSIM algorithm based on the left and right stereoscopic images. And then the sub-band energy of the left and right stereoscopic images and the ＂Cyclopean＂ image is calculated by wavelet decomposition. At last the relationship model between perceptual features of 3D image and subjective scores is built by support vector regression（SVR）. Experimental results show that our method is better consistent with subjec- tive assessment,and is more accord with human visual system.
出处
《计算机科学》
CSCD
北大核心
2015年第9期282-284,308,共4页
Computer Science
基金
国家自然科学基金(61170120)
教育部新世纪人才计划(NCET-12-0881)资助
关键词
无参考立体图像质量评价
小波变换
合成图像
支持向量回归
No-reference stereoscopic image quality assessment, Wavelet transform, ＂Cyclopean＂ image, Support vectorregression
