Efficient method of detecting globally blurry or sharp images

Elena Tsomko, Hyong Joong Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

In this paper we present a simple and efficient method for detecting the blurriness in the pictures. Recently, many digital cameras are equipped with auto-focusing functions to help the users take well-focused pictures. However, digital images can be degraded by limited contrast, inappropriate exposure, imperfection of auto-focusing or motion compensating devices, limited knowledge of amateur photographers, and so on. In order to detect blurry images for deleting them or making them go through an enhancement process automatically, a reliable measure of image degradation is needed. This paper presents a blurriness/sharpness detection algorithm based on the prediction - error variance, and demonstrates its feasibility by using extensive experiments. This method is fast, easy to implement and accurate. Regardless of the detection accuracy, the proposed method in this paper is not demanding on computation time.

Original languageEnglish
Title of host publicationWIAMIS 2008 - Proceedings of the 9th International Workshop on Image Analysis for Multimedia Interactive Services
Pages171-174
Number of pages4
DOIs
Publication statusPublished - 2008 Sep 19
Event9th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2008 - Klagenfurt, Austria
Duration: 2008 May 72008 May 9

Other

Other9th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2008
CountryAustria
CityKlagenfurt
Period08/5/708/5/9

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition

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  • Cite this

    Tsomko, E., & Kim, H. J. (2008). Efficient method of detecting globally blurry or sharp images. In WIAMIS 2008 - Proceedings of the 9th International Workshop on Image Analysis for Multimedia Interactive Services (pp. 171-174). [4556912] https://doi.org/10.1109/WIAMIS.2008.28