{"title":"六种图像质量评价方法的试验","authors":"Tomasz Grzywalski, R. Stasinski","doi":"10.1109/IWSSIP.2015.7313930","DOIUrl":null,"url":null,"abstract":"In the paper results of an subjective image quality assessment experiment based on Internet poll are used for testing six automatic image quality assessment methods. It is shown that while the methods deal fairly well with global distortions, they usually fail in score evaluation for local and geometric deformations. On the other hand, visibility of local and geometric distortions depends on image content, which is not taken into account when defining objective quality assessment methods.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Test of six image quality assessment methods\",\"authors\":\"Tomasz Grzywalski, R. Stasinski\",\"doi\":\"10.1109/IWSSIP.2015.7313930\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the paper results of an subjective image quality assessment experiment based on Internet poll are used for testing six automatic image quality assessment methods. It is shown that while the methods deal fairly well with global distortions, they usually fail in score evaluation for local and geometric deformations. On the other hand, visibility of local and geometric distortions depends on image content, which is not taken into account when defining objective quality assessment methods.\",\"PeriodicalId\":249021,\"journal\":{\"name\":\"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWSSIP.2015.7313930\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWSSIP.2015.7313930","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In the paper results of an subjective image quality assessment experiment based on Internet poll are used for testing six automatic image quality assessment methods. It is shown that while the methods deal fairly well with global distortions, they usually fail in score evaluation for local and geometric deformations. On the other hand, visibility of local and geometric distortions depends on image content, which is not taken into account when defining objective quality assessment methods.