A measure for image quality

Le Phu Dung, Srinivasan Bala, Mohammed Salahadin, Kulkarni Santosh, Wilson Campbell

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

3 Citations (Scopus)

Abstract

This paper describes a new measure for calculating the error that has been introduced when an image is modified which can be used to compare the quality of images. It is based on the following principle: The quality of an image should be measured locally and globally. This implies that: (1) Since the cheinge of each pixel value affects the quality of the image, and the overall quality is dependent on the totid number of pixels that were changed, the total number of pixels that were changed should hence be used in evaluating the quality of the image. (2) The change of each pixel value first affects the quality of a small part of the image that directly contains the pixel, and the change of that part of the image affects the quality of the whole image. This suggests that image quality should be evaluated part by part rather than pixel by pixel. Experimental results show that this proposed measure performs better than the signal-to-noise ratio find colour-based methods. It not only works well when the other two methods work but also works where the other two methods fail.

Original languageEnglish
Title of host publicationProceedings of the 1998 ACM Symposium on Applied Computing, SAC 1998
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Pages513-519
Number of pages7
ISBN (Electronic)0897919696
ISBN (Print)0 89791 969 6
DOIs
Publication statusPublished - 27 Feb 1998
EventApplied Computing 1998 - Atlanta USA, New York NY USA
Duration: 1 Jan 1998 → …

Conference

ConferenceApplied Computing 1998
CityNew York NY USA
Period1/01/98 → …

Keywords

  • Image compression
  • Image quality measure
  • Multimedia

Cite this

Dung, L. P., Bala, S., Salahadin, M., Santosh, K., & Campbell, W. (1998). A measure for image quality. In Proceedings of the 1998 ACM Symposium on Applied Computing, SAC 1998 (pp. 513-519). Association for Computing Machinery (ACM). https://doi.org/10.1145/330560.330911