BM3D Denoising Algorithms for Medical Image
- Title
- BM3D Denoising Algorithms for Medical Image
- Abstract
-
Background: Medical diagnostic and imaging
technology has been fundamentally impacted by the twenty-first
century increase in internet technology, computers, wireless
communication, and data storage. However, like with other
imaging modalities, medical imaging may be hampered by noise
and artefacts, compromising practical diagnostic analysis and
potentially posing health hazards.
Objective: The study focuses on the BM3D (Block Matching
and 3D Filtering) technique, a state-of-the-art method, to combat
the noise in medical images. Denoising these images aims to
improve the quality of medical diagnoses and reduce associated
risks.
Methods: Building upon the foundation set by the Non-Local
Means (NLM) filtering method, the BM3D technique utilises a
patch-based denoising mechanism. Instead of denoising individual
pixels, clusters or blocks of pixels are processed collectively to
improve the overall image quality.
Results: BM3D will exhibit strong performance against
impartial thoroughness criteria, making it a prospective stalwart
in the denoising realm for medical images. However, certain
limitations are identified, like user-supplied noise levels and
potential artefacts due to hard thresholding.
Conclusion: While BM3D emerges as a powerful denoising tool
for medical images, it is imperative to address its limitations
further to bolster its efficacy and applicability in real-time
diagnostic imaging systems.
- Scientific Type
- غير معروف
- Journal volume
- vol.35,No.1
- Collaboration type
- مشترك
- Publish Date
- April 26, 2024
- Participated Universities (Publication)
-
Alnoor University
- Scopus status
- In Scopus
- Scopus index year
- 2 024
- Scopus citation score
- 0
- Clarivate status
- Not In Clarivate
- Pub. Med. status
- Not In PubMed
- Author (Publication)
- فراس محمود مصطفى حسين
- Journal (Publication)
-
PROCEEDING OF THE 35TH CONFERENCE OF FRUCT ASSOCIATION
- Publisher (Publication)
- IEEE Computer Society
- ISSN
- 2305-7254
- Country (Publication)
-
Russian Federation
- Country type
- عالمية
- College (Publication)
-
College of Dentistry
- Departement (Publication)
-
Department of Dentistry
- Media
-
Academic paper
