MRI denoising: a sparse ICA-based dictionary learning approach. (2nd June 2022)

• Record Type: Journal Article
• Authors: Arathi, T.; Rahul, C.
• Is Part Of: International journal of medical engineering and informatics. Volume 14:Number 4(2022)
• Page Start: 347
• Page End: 357
• Publication Date: 2022-06-02
• Subjects: sparse processing -- dictionary learning -- image denoising -- independent component analysis -- ICA; 610.2805
• Languages: English
• ISSNs: 1755-0653

Abstract

Image denoising is the process of removing noise from an image and is basically a trade-off between noise removal and preservation of significant image details. This paper presents a new sparse processing-based denoising algorithm, the multi-median variance-independent component analysis (MMV-ICA) denoising algorithm. Various noises which affect medical images are also considered. The proposed denoising algorithm is based on sparse and redundant representations over learned dictionaries. MMV-ICA algorithm presented in this paper makes use of a patch-based dictionary creation method. The paper presents the results of MMV-ICA denoising technique, which are found to be in par with the existing sparse-based denoising methods.