一种基于图像内容的图像评价方法

根据图像内容质量对图像进行区分处理,可以有效地提高图像搜索效率。该文提出一种图像评价方法,专注于改善不同质量图像对搜索效率的影响。该方法基于图像颜色丰富程度、局部特征丰富程度以及是否背景丰富、是否包含多个子图等信息进行综合质量评价处理。实验结果表明,该方法时间效率很高,可以和图像搜索系统有效结合,有效改善图像搜索系统的搜索召回率和准确率。

Content-based Image Quality Aassessment

Content-based image retrieval is an inevitable trend of image retrieval development,and the distinguish processing based on the quality of image content could effectively improve the efficiency of image retrieval.In this paper a method for image quality assessment is proposed,which is focused on improving the impact of the image with different quality on the retrieval efficiency.And this method,based on the color of image,local property,background and sub-image,implements a comprehensive quality assessment processing.The experimental results indicate that this method is high in time efficiency,could be effectively combined with image retrieval system,and significantly improve searching recall rate and accuracy rate.