NEW LINEAR SPATIALLY INVARIANT IMAGE RESTORATION FILTER WITH NOISE SPECTRAL ESTIMATION.

Hiroshi Kondo, Hiroyasu Sakamoto

Research output: Contribution to journalArticle

Abstract

A new linear spatially invariant filter is derived. It requires the 'rare information' about the observation noise, i. e. , its Fourier transform magnitude. This filter is essentially of closed form but the recursive method can be also utilized to get the stable solution at the given spatial frequency points if necessary. The compensation method of degradation of the restored image due to the error of the estimated noise Fourier transform magnitude is shown. The new filter is the deterministic version of a minimum mean square error (MMSE) filter under the same constraint condition. Experimental results are shown and compared to that of other standard filters.

Original languageEnglish
Pages (from-to)852-858
Number of pages7
JournalTransactions of the Institute of Electronics and Communication Engineers of Japan. Section E
VolumeE68
Issue number12
Publication statusPublished - Dec 1985
Externally publishedYes

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Image reconstruction
Fourier transforms
Mean square error
Degradation
Compensation and Redress

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

NEW LINEAR SPATIALLY INVARIANT IMAGE RESTORATION FILTER WITH NOISE SPECTRAL ESTIMATION. / Kondo, Hiroshi; Sakamoto, Hiroyasu.

In: Transactions of the Institute of Electronics and Communication Engineers of Japan. Section E, Vol. E68, No. 12, 12.1985, p. 852-858.

Research output: Contribution to journalArticle

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