A Novel Approach for MRI Image De-noising and Resolution Enhancement
Pravin Prakash Shetti
, Prof. A. P. Patil
Gaussian noise, Mean Filter, Median Filter, Wiener Filter, Resolution enhancement, interpolation, Discrete Wavelet Transform (DWT), Sub-bands, Inverse DWT.
Image pre-processing and enhancement techniques are important part of the medical image processing. These techniques are used for reducing image noise, highlighting edges, or improving the image resolution. Resolution of image is one of the principle characteristics, and it is required to enhance the resolution of the image without degrading the quality of image. In this paper, we propose a new technique to enhance the quality of MRI image by de-noising and resolution enhancement. The proposed algorithm requires average, median and wiener filtering for image de-noising And Discrete Wavelet Transform (DWT) with Daubechies 9/7 wavelet for resolution enhancement. The performance evaluation is done by using Peak Signal to Noise Ratio (PSNR).
"A Novel Approach for MRI Image De-noising and Resolution Enhancement", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 7, page no.376 - 381, July-2017, Available :https://ijsdr.org/papers/IJSDR1707061.pdf
Volume 2
Issue 7,
July-2017
Pages : 376 - 381
Paper Reg. ID: IJSDR_170648
Published Paper Id: IJSDR1707061
Downloads: 000347168
Research Area: Engineering
Country: Jaysingpur, Maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
