Automatic ringing artifact detection in restoring blurred face images

Wen Chung Kao, Chih Hsiang Chiu, Yueh Yiing Yang

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

Abstract

Restoring blurred images by blind deconvolution has been extensively studied for a long time. But a general solution for deblurring any out-of-focus images is still a big challenge. In this paper, we present a new face image restoration approach based on Wiener filter and pattern recognition techniques. By trying several radii of circle of confusion (COC) used in Wiener filter and applying local contrast enhancement (LCE) to further enhance the textures of deblurred images, the proposed system can automatically determine the best deconvolution radius of COC such that the deblurred image has less ringing artifacts.

Original languageEnglish
Title of host publication2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09
Pages770-773
Number of pages4
DOIs
Publication statusPublished - 2009 Dec 1
Event2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09 - Cancun, Mexico
Duration: 2009 Aug 22009 Aug 5

Publication series

NameMidwest Symposium on Circuits and Systems
ISSN (Print)1548-3746

Other

Other2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09
CountryMexico
CityCancun
Period09/8/209/8/5

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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    Kao, W. C., Chiu, C. H., & Yang, Y. Y. (2009). Automatic ringing artifact detection in restoring blurred face images. In 2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09 (pp. 770-773). [5235882] (Midwest Symposium on Circuits and Systems). https://doi.org/10.1109/MWSCAS.2009.5235882