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Deconvolution in transform-domain for image data restoration

  • Letters
  • Published:
Journal of Electronics (China)

Abstract

A novel scheme for image data restoration is proposed in this letter. First, a window-function model is exploited to describe the data loss in images. It can change the restoration problem into deconvolution in transform-domain. Then, an iterative algorithm is presented to solve the deconvolution. Because the window-function is available to describe arbitrary shape, our algorithm is suitable for restoring irregular segment of data loss, including square-block. Finally, several simulation tests are done and results prove that the algorithm is valid.

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Author information

Authors and Affiliations

  1. Electronic Engineering College, Heilongjiang University, 150080, Harbin, China

    Sun Xiaojun & Ding Qun

Authors
  1. Sun Xiaojun
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  2. Ding Qun
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Additional information

Supported by the National Natural Science Foundation of China (No.60072012).

Communication author: Sun Xiaojun, born in 1955, male, professor. Electronic Engineering College, Heilongjiang University, Xuefu Road #74, Harbin 150080, China.

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Cite this article

Sun, X., Ding, Q. Deconvolution in transform-domain for image data restoration. J. of Electron.(China) 22, 312–314 (2005). https://doi.org/10.1007/BF02687989

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  • DOI: https://doi.org/10.1007/BF02687989

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