Directional interpolation of noisy images

Lei Zhang, X. Li

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

4 Citations (Scopus)

Abstract

Most of the existing image interpolation schemes assume that the image is noise free. This assumption is invalid in practice because noise will be corrupted in the image acquisition process. The conventional way is to denoise the image first and then interpolate the denoised image. The denoising process, however, may smooth much the image details and introduce some artifacts, which could be amplified in the interpolation process. This paper presents a directional estimation scheme to implement denoising and interpolation simultaneously. For each noisy sample, we compute multiple directional estimates of it and then fuse them for a more accurate output. The estimation parameters computed in the denoising process can be subsequently used for interpolation. Compared with the schemes that perform denoising and interpolation in tandem, the proposed method can better reproduce the image fine structures and reduce much the interpolation artifacts.
Original languageEnglish
Title of host publication2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5
PublisherIEEE
Pages633-636
Number of pages4
Volume1-5
ISBN (Print)9781424417650
DOIs
Publication statusPublished - 2008
Event15th IEEE International Conference on Image Processing (ICIP 2008) - San Diego, United States
Duration: 12 Oct 200815 Oct 2008

Publication series

NameIEEE International Conference on Image Processing ICIP
PublisherIEEE
ISSN (Print)1522-4880

Conference

Conference15th IEEE International Conference on Image Processing (ICIP 2008)
Country/TerritoryUnited States
CitySan Diego
Period12/10/0815/10/08

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