Super-Resolution Reconstruction Using Haar Wavelet Estimation

Chong Sze TONG, K. T. Leung

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

4 Citations (Scopus)


High resolution image reconstruction refers to the reconstruction of a high resolution image from a set of shifted, blurred low resolution images. Many methods have been developed, and most of them are iterative methods. In this paper, we present a direct method to obtain the reconstruction. Our method takes advantages of the properties of Haar wavelet transform of the high resolution image and its relationship with the low resolution images. Thus the coefficients of the Haar wavelet transform of the high resolution image can be estimated from the low resolution images. Our method is very simple to implement and is very efficient. Experiments show that it is robust to boundary conditions and superior to the least - squares method especially in the low - noise case.

Original languageEnglish
Title of host publicationWavelet Analysis and Applications
EditorsTao Qian, Mang I. Vai, Yuesheng Xu
PublisherBirkhäuser Basel - Springer
Number of pages12
ISBN (Electronic)9783764377786
ISBN (Print)9783764377779
Publication statusPublished - 2007
EventWavelet Analysis and Applications 2005 - University of Macau, Macao
Duration: 29 Nov 20052 Dec 2005

Publication series

NameApplied and Numerical Harmonic Analysis
ISSN (Print)2296-5009
ISSN (Electronic)2296-5017


ConferenceWavelet Analysis and Applications 2005

Scopus Subject Areas

  • Applied Mathematics

User-Defined Keywords

  • Haar wavelet transform
  • High resolution image reconstruction


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