Critical Findings on Restoration of Magnetic Resonance Images
Sujeet More1, Jimmy Singla2
1Sujeet More*, Research Scholar, School of Computer Science and Engineering at Lovely Professional University, Punjab.
2Dr. Jimmy Singla Associate Professor, School of Computer Science and Engineering, Lovely Professional University, Punjab.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 20, 2020. | Manuscript published on March 10, 2020. | PP: 1882-1887 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2912039520 /2020©BEIESP | DOI: 10.35940/ijitee.E2912.039520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The explosion of numerous medical images lead to the development of many different techniques to provide an accurate result. Although the signal to noise ratio (SNR), resolution and speed of magnetic resonance imaging technology have increased, still magnetic resonance images are affected by noise, contrast, and artifacts. To provide the image content or features relevant to diagnosis, contrast enhancement and reduction of noise with preservation of actual content should be carried out. The purpose of this paper is to present a critical review of different types of noises with an overview of diverse techniques for denoising and contrast enhancement for magnetic resonance images and discuss the advantages and limitations of these techniques with broad ideology.
Keywords: Denoise, Contrast Enhancement, Magnetic Resonance Imaging, Image Filtering, Gaussian Noise.
Scope of the Article: Image Security