Local criteria: A unified approach to local adaptive linear and rank filters for image restoration and enhancement

L. P. Yaroslavsky

doi:10.1109/ICIP.1994.413624

Local criteria: A unified approach to local adaptive linear and rank filters for image restoration and enhancement

L. P. Yaroslavsky^*

^*Corresponding author for this work

National Institutes of Health

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Abstract

A class of criteria of image processing quality, the local criteria, is introduced. The criteria are based on a generalized notion of pixel's neighborhood and separate averaging the criteria loss function over the neighborhood and random factors associated with image formation and intended utilization of the image. This offers a new and unified approach to treatment and design of local adaptive linear and non-linear rank filters for image restoration and enhancement. The corresponding examples are briefly outlined.

Original language	English
Article number	413624
Pages (from-to)	517-521
Number of pages	5
Journal	Proceedings - International Conference on Image Processing, ICIP
Volume	2
DOIs	https://doi.org/10.1109/ICIP.1994.413624
State	Published - 1994
Externally published	Yes
Event	The 1994 1st IEEE International Conference on Image Processing - Austin, TX, USA Duration: 13 Nov 1994 → 16 Nov 1994

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10.1109/ICIP.1994.413624

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abstract = "A class of criteria of image processing quality, the local criteria, is introduced. The criteria are based on a generalized notion of pixel's neighborhood and separate averaging the criteria loss function over the neighborhood and random factors associated with image formation and intended utilization of the image. This offers a new and unified approach to treatment and design of local adaptive linear and non-linear rank filters for image restoration and enhancement. The corresponding examples are briefly outlined.",

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ER -

Local criteria: A unified approach to local adaptive linear and rank filters for image restoration and enhancement

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