An image restoration method based on PDEs and a new gradient model

Lei Xu, Xiaoling Zhang, Kin Man Lam

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

The goal of image restoration is to eliminate noise and insignificant details from a blurred or noise-affected image, without blurring important semantic structures such as edges. In this paper, we propose a new approach based on partial differential equations (PDEs) by adjusting the threshold when iteration proceeds, and a new gradient model based on the idea of bilateral filtering, which can retain more visual details than other methods. With this new approach, the noise can be removed efficiently while preserving important semantic structures such as edges.
Original languageEnglish
Title of host publication2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
Pages4165-4168
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2010
Event2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
Duration: 26 Sep 201029 Sep 2010

Conference

Conference2010 17th IEEE International Conference on Image Processing, ICIP 2010
CountryHong Kong
CityHong Kong
Period26/09/1029/09/10

Keywords

  • Image processing
  • Image restoration
  • PDE

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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