首页    期刊浏览 2025年06月12日 星期四
登录注册

文章基本信息

  • 标题:ANALYSIS AND IMPROVEMENT ON STATISTICAL NATURALNESS MEASURE
  • 本地全文:下载
  • 作者:NUR HALILAH BINTI ISMAIL ; SOONG-DER CHEN
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2016
  • 卷号:83
  • 期号:3
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Although Statistical Naturalness Measure (SNM) can rate the naturalness of image�s contrast relatively well, but it suffers from the problem of inconsistent rating across different spatial resolution; ratings for images with identical content and contrast level but different spatial resolution might be significantly different. The statistical model SNM was developed upon sample images with certain spatial resolution and the contrast was defined using a specific block size. This paper suggests that the problem is due to the computation of contrast using fixed block size regardless of the spatial resolution of the input image. It is proposed to rescale the block size based on the spatial resolution of input image to keep the ratio of block size to image size similar to those of the sample images used in developing the statistical model of SNM. The proposed method is tested and proven statistically to be effective in reducing the inconsistency in the ratings of images across different spatial resolution such there is no significant difference among them.
  • 关键词:Naturalness; Contrast; Statistical Naturalness; Contrast; Image Quality Assessment Algorithm
国家哲学社会科学文献中心版权所有