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基于时域结构的二值图像质量评价
引用本文:颜彬.基于时域结构的二值图像质量评价[J].湖南科技大学学报(自然科学版),2005,20(3):82-85.
作者姓名:颜彬
作者单位:江汉大学,数学与计算机科学学院,湖北,武汉,430056
摘    要:提出基于时域分层结构的图像质量评价方法,认为分层结构矩阵由细节到抽象的过程反映了人类视觉抓取信息的过程.先提取图像分层结构,计算降质前后图像结构矩阵对等层的互相关,然后对不同结构层赋予相应的层次因子以反映视觉对轮廓的敏感程度,最后加权累计整幅图像的结构相关SC(Structure Correhtlon).实验证明SC可以代表降质图像与原图像的相似程度,能保证客观判断与主观视觉结果的一致性.图6,表2,参10.

关 键 词:图像质量评价  结构矩阵  层次因子  结构相关  视觉敏感
文章编号:1672-9102(2005)03-0082-04
收稿时间:2005-06-18
修稿时间:2005年6月18日

Binary image quality assessment based on spatial structure
YAN Bin.Binary image quality assessment based on spatial structure[J].Journal of Hunan University of Science & Technology(Natural Science Editon),2005,20(3):82-85.
Authors:YAN Bin
Institution:Collage of Mathematics and Computer Science, Jianghan University, Wuhan 430056, China
Abstract:As building a layer structure matrix from detail to profile reflects the course of grabbing information by human vision system,this paper proposed an image quality assessment method based on spatial structure.After image structure matrices were extracted,layer correlation between original image and the attacked one was calculated.Then the SC(Structure Correlation) was accumulated with layer factors reflecting vision sensitivity to different profiles.Experiment showsd that SC represents similarity between two images;the objective estimation by SC coincides with the subjective result by human vision.6figs.,2tabs.,10refs.
Keywords:image quality assessment  structure matrix  layer factor  structure correlation  sensitive to vision
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