{"title":"No noticeable difference evaluation of image data compression","authors":"E. Jang","doi":"10.1109/ICNIDC.2016.7974626","DOIUrl":null,"url":null,"abstract":"In this paper, a new way of evaluating image compression performance is proposed in order to reflect the human visual perception perspective in image compression and its applications: “No noticeable difference (NND) is allowed in commercial use.” Various methodologies have been proposed and utilized to evaluate image compression performance with both objective and subjective measures for the given rate-distortion curve, which is used to claim that a codec is better than another in a quantitative manner. In this paper, a NND-based subjective experiment is carried out to see if the existing standard image codecs such as JPEG and JPEG2000 still make a reasonable difference in performance. The experimental results on standard test images reveal that there is no great difference in performance between the two standard codecs including a few cases where JPEG outperformed JPEG2000.","PeriodicalId":439987,"journal":{"name":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNIDC.2016.7974626","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, a new way of evaluating image compression performance is proposed in order to reflect the human visual perception perspective in image compression and its applications: “No noticeable difference (NND) is allowed in commercial use.” Various methodologies have been proposed and utilized to evaluate image compression performance with both objective and subjective measures for the given rate-distortion curve, which is used to claim that a codec is better than another in a quantitative manner. In this paper, a NND-based subjective experiment is carried out to see if the existing standard image codecs such as JPEG and JPEG2000 still make a reasonable difference in performance. The experimental results on standard test images reveal that there is no great difference in performance between the two standard codecs including a few cases where JPEG outperformed JPEG2000.
为了反映人类在图像压缩及其应用中的视觉感知视角,本文提出了一种新的评价图像压缩性能的方法:“No visible difference (NND) is allowed In commercial use”。已经提出并利用各种方法来评估图像压缩性能,对给定的率失真曲线进行客观和主观测量,用于声称编解码器在定量方式上优于另一个。本文通过基于nnd的主观实验,考察JPEG、JPEG2000等现有标准图像编解码器在性能上是否仍然存在合理的差异。在标准测试图像上的实验结果表明,两种标准编解码器的性能没有太大差异,包括少数情况下JPEG优于JPEG2000。