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

Hiroshi Kondo, Hiroyasu Sakamoto

研究成果: Contribution to journalArticle

抜粋

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.

元の言語英語
ページ(範囲)852-858
ページ数7
ジャーナルTransactions of the Institute of Electronics and Communication Engineers of Japan. Section E
E68
発行部数12
出版物ステータス出版済み - 12 1985
外部発表Yes

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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