Super-resolution reconstruction using Haar wavelet estimation

Chong Sze TONG, K. T. Leung

Research output: Chapter in book/report/conference proceedingChapterpeer-review

4 Citations (Scopus)

Abstract

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 publicationApplied and Numerical Harmonic Analysis
PublisherSpringer International Publishing
Pages419-430
Number of pages12
Edition9783764377779
DOIs
Publication statusPublished - 2007

Publication series

NameApplied and Numerical Harmonic Analysis
Number9783764377779
ISSN (Print)2296-5009
ISSN (Electronic)2296-5017

Scopus Subject Areas

  • Applied Mathematics

User-Defined Keywords

  • Haar wavelet transform
  • High resolution image reconstruction

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