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) |
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Pages (from-to) | 1272-1292 |
Number of pages | 21 |
Journal | Proceedings of the IEEE |
Volume | 83 |
Issue number | 9 |
DOIs | |
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