{"title":"一种基于Contourlet变换的图像质量评估新算法","authors":"Han Sun, Yanrui Liu","doi":"10.1109/RVSP.2013.34","DOIUrl":null,"url":null,"abstract":"In recent years, image quality assessment has achieved great success. Many researchers have proposed more and more image quality assessment algorithms, which are being closer to human perception. However, some proposed algorithms could perform even better by doing some transformations on image. In this paper, a new image quality assessment based on contourlet transformation is proposed. And experimental results show the improvement of the novel algorithm.","PeriodicalId":6585,"journal":{"name":"2013 Second International Conference on Robot, Vision and Signal Processing","volume":"80 1","pages":"120-122"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A New Image Quality Assessment Algorithm Based on Contourlet Transformation\",\"authors\":\"Han Sun, Yanrui Liu\",\"doi\":\"10.1109/RVSP.2013.34\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, image quality assessment has achieved great success. Many researchers have proposed more and more image quality assessment algorithms, which are being closer to human perception. However, some proposed algorithms could perform even better by doing some transformations on image. In this paper, a new image quality assessment based on contourlet transformation is proposed. And experimental results show the improvement of the novel algorithm.\",\"PeriodicalId\":6585,\"journal\":{\"name\":\"2013 Second International Conference on Robot, Vision and Signal Processing\",\"volume\":\"80 1\",\"pages\":\"120-122\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Second International Conference on Robot, Vision and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RVSP.2013.34\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Second International Conference on Robot, Vision and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RVSP.2013.34","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A New Image Quality Assessment Algorithm Based on Contourlet Transformation
In recent years, image quality assessment has achieved great success. Many researchers have proposed more and more image quality assessment algorithms, which are being closer to human perception. However, some proposed algorithms could perform even better by doing some transformations on image. In this paper, a new image quality assessment based on contourlet transformation is proposed. And experimental results show the improvement of the novel algorithm.