Noise Reduction Filters for Dynamic Image Sequences: A Review

James C. Brailean; Richard P. Kleihorst; Richard P. Kleihorst; Serafim Efstratiadis; Aggelos K. Katsaggelos; Reginald L. Lagendijk

doi:10.1109/5.406412

Noise Reduction Filters for Dynamic Image Sequences: A Review

James C. Brailean, Richard P. Kleihorst, Richard P. Kleihorst, Serafim Efstratiadis, Aggelos K. Katsaggelos, Reginald L. Lagendijk

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

219 Scopus citations

Abstract

In this paper, a thorough review is presented of noise reduction filters for digital image sequences. Detailed descriptions of several spatiotemporal and temporal noise reduction algorithms are provided. To aid in comparing between these different algorithms, we classify them based on their support (i.e., 3-D or 1-D filter) and whether or not motion compensation is employed. Several algorithms from each of the four categories are implemented and tested on real sequences degraded to various signal-to-noise ratios. These experimental results are discussed and analyzed to determine the overall advantages and disadvantages of the four general classifications, as well as, the individual filters.

Original language	English (US)
Pages (from-to)	1272-1292
Number of pages	21
Journal	Proceedings of the IEEE
Volume	83
Issue number	9
DOIs	https://doi.org/10.1109/5.406412
State	Published - Sep 1995

Funding

Manuscript received 1994; revised May 1995. This work was supported in part by NATO under Grant Number 0103/88.

ASJC Scopus subject areas

General Computer Science
Electrical and Electronic Engineering

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10.1109/5.406412

Cite this

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title = "Noise Reduction Filters for Dynamic Image Sequences: A Review",

abstract = "In this paper, a thorough review is presented of noise reduction filters for digital image sequences. Detailed descriptions of several spatiotemporal and temporal noise reduction algorithms are provided. To aid in comparing between these different algorithms, we classify them based on their support (i.e., 3-D or 1-D filter) and whether or not motion compensation is employed. Several algorithms from each of the four categories are implemented and tested on real sequences degraded to various signal-to-noise ratios. These experimental results are discussed and analyzed to determine the overall advantages and disadvantages of the four general classifications, as well as, the individual filters.",

author = "Brailean, \{James C.\} and Kleihorst, \{Richard P.\} and Kleihorst, \{Richard P.\} and Serafim Efstratiadis and Katsaggelos, \{Aggelos K.\} and Lagendijk, \{Reginald L.\}",

note = "Funding Information: Manuscript received 1994; revised May 1995. This work was supported in part by NATO under Grant Number 0103/88.",

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AU - Kleihorst, Richard P.

AU - Efstratiadis, Serafim

AU - Katsaggelos, Aggelos K.

AU - Lagendijk, Reginald L.

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AB - In this paper, a thorough review is presented of noise reduction filters for digital image sequences. Detailed descriptions of several spatiotemporal and temporal noise reduction algorithms are provided. To aid in comparing between these different algorithms, we classify them based on their support (i.e., 3-D or 1-D filter) and whether or not motion compensation is employed. Several algorithms from each of the four categories are implemented and tested on real sequences degraded to various signal-to-noise ratios. These experimental results are discussed and analyzed to determine the overall advantages and disadvantages of the four general classifications, as well as, the individual filters.

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Noise Reduction Filters for Dynamic Image Sequences: A Review

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