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一种基于视觉兴趣性的图象质量评价方法
引用本文:汪孔桥,沈兰荪,邢 昕.一种基于视觉兴趣性的图象质量评价方法[J].中国图象图形学报,2000,5(4):300-303.
作者姓名:汪孔桥  沈兰荪  邢 昕
作者单位:北京工业大学信号与信息处理研究室!北京100022
基金项目:国家 8 63计划资助项目!( 863 -3 0 6-ZT0 3 -0 9)
摘    要:图象质量的正确评价是图象信息工程领域内一项很有意义的研究课题,但现有的图象客观评价方法并不完全符合人眼视觉特性。合理地评价图象质量应充分遵循人眼的视觉特性,但由于受到人的心理、文化背景、周围环境、不同的应用场合等多种因素的影响,人眼对同一幅图象中的不同区域往往具有不同的感兴趣程度,即人眼具有视觉兴趣性特性,该文在充分利用视觉兴趣性特性的基础上,针对只存在一个感兴趣区的图象,提出了一种简化的图象质量

关 键 词:图象质量评价  感兴趣区  视觉兴趣性    视觉特性
收稿时间:1999/5/20 0:00:00
修稿时间:2000/1/25 0:00:00

A Quality Assessment Method of Image Based on Visual Interests
WANG Kong-qiao,SHEN Lan-sun and XING Xin.A Quality Assessment Method of Image Based on Visual Interests[J].Journal of Image and Graphics,2000,5(4):300-303.
Authors:WANG Kong-qiao  SHEN Lan-sun and XING Xin
Affiliation:Signal and Information Lab,Beijing Polytechnic University,Beijing 100022;Signal and Information Lab,Beijing Polytechnic University,Beijing 100022;Signal and Information Lab,Beijing Polytechnic University,Beijing 100022
Abstract:Research on right quality assessment of image is very meaningful in the image information project, but the objective quality assessment of image cannot always be in accordance with human vision. Any reasonable quality assessment method of image should abide fully by human subjective vision. Due to many factors such as visual psychology, culture background, surrounding environment, different applications and so on, an image can be divided into different regions of interest (ROI) by vision interests. To best advantage of human visual interests, a simplified method for subjective assessment of image is presented to an image with only one ROI in this paper. The degree of visual interest to the ROI of the image is regarded approximately to be an inverse measure of the acreage of the ROI. As the acreage of the ROI is zero, the method will become the objective quality assessment of image, that is to say, the objective quality assessment of image is a specific case of the method in this paper. The experimental results have shown the effectiveness of the proposal scheme. It is in better accordance with human subjective vision.
Keywords:Quality Assessment of Image  Region of interest  Visual interest
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