基于伪影抑制的集论图像复原新约束

Sixth Multidimensional Signal Processing Workshop, Pub Date : 1989-09-06 DOI:10.1109/MDSP.1989.97102

M. Sezan, H. Trussell

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引用次数: 0

摘要

只提供摘要形式。研究了两种新的约束在集论图像恢复算法中的应用。约束的目的是减少结果恢复中的信号依赖和滤波噪声伪影。提出的第一个约束是“Wiener解的有界变分”约束。第二种是连续变化的平滑性约束

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New constraints for set-theoretic image restoration with artifact suppression

Summary form only given. The use of two new constraints in image restoration using set-theoretic algorithms has been investigated. The constraints aim to reduce the signal-dependent and filtered noise artifacts in the resulting restoration. The first constraint proposed is the 'bounded variation from the Wiener solution' constraint. The second is a continuously varying smoothness constraint.<>

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Sixth Multidimensional Signal Processing Workshop,

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