WSEAS Transactions on Signal Processing
Print ISSN: 1790-5052, E-ISSN: 2224-3488
Volume 21, 2025
Survey – Start with Image Denoising
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Abstract: Denoising is a noise reduction technique for a signal that remains a problematic task for researchers. Although several works have been published on algorithms, each of these methods has its advantages and limitations. This work presents a state-of-the-art of some of the major works developed in the field of image noise reduction, as well as a new direction in the categorization of MR image debriefing techniques. The categorization of the different image models used in medical image processing serves as the basis for our classification. This study includes recent improvements in deep learning-based debriefing methods as well as important traditional MR image denoising methods. The major issues and their scope for improvement are also addressed. In addition, many other evaluation indices are considered for fair comparison. This study may encourage researchers to continue their work in this area. The work begins with an introduction, then presents some of the most widely used approaches in their classification sets and an overview of many algorithms and analyses is provided. Possible future perspectives and trends in noise reduction are also presented here.
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Keywords: Digital images, Magnetic resonance imaging, biomedical image denoising, wavelet transformation, un-decimatedwavelet transformation, noise reduction images
Pages: 41-50
DOI: 10.37394/232014.2025.21.6