计算机科学 ›› 2017, Vol. 44 ›› Issue (Z6): 151-156.doi: 10.11896/j.issn.1002-137X.2017.6A.035

• 模式识别与图像处理 • 上一篇    下一篇

基于色彩特征的无参考彩色图像质量评价

闻武,左凌轩   

  1. 同济大学电子与信息工程学院 上海201804,同济大学电子与信息工程学院 上海201804
  • 出版日期:2017-12-01 发布日期:2018-12-01

Blind Color Image Quality Assessment Base on Color Characteristics

WEN Wu and ZUO Ling-xuan   

  • Online:2017-12-01 Published:2018-12-01

摘要: 彩色图像质量评价(Color Image Quality Assessment,C-IQA)作为一种图像质量评价系统,与其他图像质量评价系统对彩色图像只是简单地将原图像转换为灰度图像进行评价不同,不仅考虑图像在灰度尺度下的质量评价,而且需要对图像的色彩表现做出评价。提出一种基于色彩特征的彩色图像质量的数学评价模型,在考虑亮度特征的同时,加入了色调、色饱和度和色彩熵等色度特征来进行C-IQA。在LIVE图像数据库中进行实验,可以发现模型预测结果与图像实际质量保持高度一致。

关键词: 彩色图像质量评价,彩色特征,主色调,色彩熵

Abstract: Color image quality Assessment(the C-IQA) was proposed to evaluate the quality of a color image.Different from other image quality assessment systems simply convert the original image to gray image,the C-IQA consider not only the quality of an image under the gray scale,but also need to take color performance of that image in to account.In this paper,we devise a color image quality evaluation model based on color characteristics.Beside the characteristics of brightness,we used the characteristics of hue,color saturation and color entropy to assess the quality of color image.By experiments on the LIVE image database,we can find that our model predictions are highly consistent with the quality of image.

Key words: C-IQA,Color characteristics,Dominate hue,Color entropy

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