Improved non-local mean denoising algorithm based reliability of reference pixel Article Swipe
Junghyun Lee
,
Jechang Jeong
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1088/1757-899x/715/1/012064
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1088/1757-899x/715/1/012064
In this paper, we propose a method for improved the non-local mean denoising algorithm by using the similarity in comparison with reference pixels. The noise in image is eliminated by the calculation to follow values as the patterns are similar in non-local mean denoising alogirthm. In the conventional algorithm, all the comparison results of the pixels are included in the denoising process, and even the low similarity result is included. The method causes the denoised effect to incorrect. In this paper, we propose an algorithm that reduces the influence of low-similarity reference pixels or improves the effect of high-similarity reference pixels. The proposed method improves both the object quality and the subject quality.
Related Topics To Compare & Contrast
Concepts
Non-local means
Pixel
Noise reduction
Similarity (geometry)
Artificial intelligence
Pattern recognition (psychology)
Noise (video)
Computer science
Algorithm
Process (computing)
Image (mathematics)
Object (grammar)
Reliability (semiconductor)
Mathematics
Image denoising
Power (physics)
Operating system
Physics
Quantum mechanics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1757-899x/715/1/012064
- OA Status
- diamond
- References
- 7
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2997657445
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