A Robust Adaptive Wiener Filtering Method for High-Quality Medical Image Enhancement
DOI:
https://doi.org/10.29284/tmmq1k05Keywords:
Image Enhancement , Medical Imaging , Adaptive Wiener Filter , Image De-noising .Abstract
The process of image enhancement considered as an important and a complex mechanism in the field of medical image processing, these techniques are applied for the purpose of making the visual appearance of images acceptable. There are many problems suffered by medical images of all kinds, such as noise in addition to poor contrast. Noise in medical images occurs due to acquisition, transmission, reception as well as storage and retrieval. This results in poor image quality, so the importance of the noise removal process appears in order for the image to be ready for use for medical purposes, which include diagnosing diseases . In this research, a very effective method has been introduced by using an important and effective noise-cancelling filter, the Adaptive Wiener filter. In order to measure the performance of this filter two parameters are used peak signal to noise ratio (PSNR) and mean square error (MSE). The results obtained in this method were excellent, as they demonstrated the effectiveness of the filter that was used.
References
1-Dominik Müller, Frank Kramer ,(Miscnn: A Framework For Medical Image Segmentation With Convolutional Neural Networks And Deep Learning),Müller And Kramer BMC Med Imaging (2021).
2- Suthamerthi Elavarasu, Vijivinod ,(Fusion Of Noise And Contrast Enhancement Filters For Efficient Ovarian Cancer Roi
Localization),International Journal Of Engineering And Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-8, Issue-2C2, December 2018.
3-Sidhavi Naidu ,Prajakta Parvatkar(Medical Image Enhancement Based On Statistical And Image Processing Techniques),International Journal Of Engineering Research & Technology (IJERT) ,Vol. 10 Issue 05, May-2021
4- Muhammad Waqar Mirza, Asif Siddiq, Ishtiaq Rasoo Lkhan1 , (A Comparative Study Of Medical Image Enhancement Algorithms And Quality Assessment Metrics On COVID-19 CT Images Signal), Image And Video Processing 20 March 2022.
5- WAMEEDH RIYADH ABDUL-ADHEEM , (ENHANCEMENT OF MAGNETIC RESONANCE IMAGES THROUGH PIECEWISE LINEAR HISTOGRAM EQUALIZATION ) ,Journal Of Engineering Science And Technology, Vol. 15, No. 3 2023.
6- Koki Yamashita & Konstantin Markov , (Medical Image Enhancement Using Super Resolution Methods) ,International Conference On Computational Science ,ICCS 2020: Computational Science – ICCS 2020 Pp 496–508.
7-Fayadhalenezi ,Kc Santosh , (Geometric Regularized Hopfield Neural Network For Medical Image Enhancement),International Journal Of Biomedical Imaging 2021.
8- Prathibhavarghese, Dr.G.Arockia Selvasaroja, (IMAGE ENHANCEMENT USING DIFFERENT FORMS OF HEX-GABOR FILTER: A COMPARATIVE ANALYSIS ),European Journal Of Molecular & Clinical Medicine . Volume 7, Issue 11, 2020 .
9-L. Shyamsundar Singh1 , Dr. Anil K Ahlawat , (Medical Image Enhancement Using Fuzzy And Regression Based Neural Network Approach ) ,International Journal Of Applied Engineering Research Volume 14, Number 7 (2019) Pp. 1532-1538 .
10- Olumayowaidowu1 ,Kamoli AMUSA1 , Abolaji ILORI2 (Improved Enhancement Technique For Medical Image Processing ) ,American Journal Of Engineering Research (AJER) ,
Volume-11, Issue-01, Pp-126-137- 2022.
11-Nemasalema* ,Hebatullahmalikb , Asmaashamsc (Medical Image Enhancement Based On Histogram Algorithms ),Procedia Computer Science 163 (2019) 300–311
,16th International Learning & Technology Conference 2019 .
12- Abhinav Bansal ,Navdeep Singh, ( Image Enhancement Techniques: A Review), Asian Journal Of Convergence In Technology ,Volume VI Issue II ,August 2020.
13-Yasser Radouance Haddadi, Boualemmansouri, (A Novel Medical Image Enhancement Algorithm Based On CLAHE And Pelican Optimization) , Multimedia Tools And Applications An International Journal ,April 2024.
14-Dr. T. Vijayakumar, (SELECTIVE IMAGE ENHANCEMENT AND RESTORATION FOR SKIN CANCER IDENTIFICATION) ,Journal Of Innovative Image Processing (JIIP) (2019) ,Vol.01/ No. 01 ,Pages: 1-10
15-Dr. Sana'a Khudayerjadwaa, (MRI Brain Tumor Imaging Enhancement Methods: A Review),International Journal Of Computer Engineering And Information Technology ,VOL. 11, NO. 7, July 2019, 153–156
16- Yuan-Bin Wang, Hai-Long Huang( Image Denoising Based On Adaptive Sector Rotation Median Filter), Journal Of Physics: Conference Series, 2021.
17-Dr. Sana'a Khudayerjadwa, (Wiener Filter Based Medical Image De-Noising ),International Journal Of Science And Engineering Applications ,Volume 7–Issue 09,318-323, 2018,
18- Fei Wu, Wenxue Yang, Limin Xiao * And Jinbinzhu ,(Adaptive Wiener Filter And Natural Noise Toeliminate Adversarial Perturbation).Electronics, 3 October 2020.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
