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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM15180
Volume:
6 |
6 |
Jun 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Noise reduction is an essential part of image processing and there are many algorithms for the noise reduction process however, the common problem is that the noise reduction makes the contours unclear or leaves noise on the edges. All recording devices, both analog and digital have traits that make them susceptible to noise. Noise can be random or white noise with no coherent noise introduce by the device’s mechanism or processing algorithms. In this paper by spline smoothing we have tried to reduce image noise. By using this method we can minimize mean square error by determining the trade off values and weight coefficients for each line and pixel effectively.
KEYWORDS
Publication Date
6/29/2022
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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