A New Method to Remove Noise in Magnetic Resonance and Ultrasound Images
Mohammad Abu Yousuf,M. N. Nobi +1 more
TLDR
In the proposed method median filter is modified by adding more features, and the quality of the output images is measured by the statistical quantity measures: peak signal-to-noise ratio (PSNR), signal- to-no noise ratio (SNR) and root mean square error (RMSE).Abstract:
In medical image processing, medical images are corrupted by different type of noises. It is very important to obtain precise images to facilitate accurate observations for the given application. Removing of noise from medical images is now a very challenging issue in the field of medical image processing. Most well known noise reduction methods, which are usually based on the local statistics of a medical image, are not efficient for medical image noise reduction. This paper presents an efficient and simple method for noise reduction from medical images. In the proposed method median filter is modified by adding more features. Experimental results are also compared with the other three image filtering algorithms. The quality of the output images is measured by the statistical quantity measures: peak signal-to-noise ratio (PSNR), signal-to-noise ratio (SNR) and root mean square error (RMSE). Experimental results of magnetic resonance (MR) image and ultrasound image demonstrate that the proposed algorithm is comparable to popular image smoothing algorithms. Key words : Magnetic resonance image; Ultrasound image; PSNR; SNR; RMSE. © 2011 JSR Publications. ISSN: 2070-0237 (Print); 2070-0245 (Online). All rights reserved. doi:10.3329/jsr.v3i1.5544 J. Sci. Res. 3 (1), 81-89 (2011)read more
Citations
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Journal ArticleDOI
Parameter Optimization for Local Polynomial Approximation based Intersection Confidence Interval Filter Using Genetic Algorithm: An Application for Brain MRI Image De-Noising
Nilanjan Dey,Amira S. Ashour,Samsad Beagum,Dimitra Sifaki Pistola,Mitko Gospodinov,João Manuel,R. S. Tavares,Saudi Arabia +7 more
TL;DR: The present study proposed a novel technique for parameter optimization of LPA-ICI filter using genetic algorithm (GA) for brain MR images de-noising and proved that the proposed method outperforms the LPA -ICI method for de- noising in terms of various performance metrics for different noise variance levels.
Proceedings ArticleDOI
A Comparative Study on Approaches to Speckle Noise Reduction in Images
TL;DR: A brief analysis of different techniques used for speckle noise reduction, along with their advantages and disadvantages, in a comparative manner are presented.
Analysis Of Various Quality Metrics for Medical Image Processing
Ravi Kumar,Munish Rattan +1 more
TL;DR: The comparative analysis of various quality metrics for medical image processing in terms of well known metrics such as Mean Squared Error, Structural Similarity Index Metrics, Peak Signal-to-Noise Ratio, Maximum difference, etc are presented.
Journal ArticleDOI
Machine Learning and Image Processing Enabled Evolutionary Framework for Brain MRI Analysis for Alzheimer's Disease Detection
Mustafa Kamal,Ajay Pratap,Mohd Naved,Abu Sarwar Zamani,Periasamy Nancy,Mahyudin Ritonga,Surendra Kumar Shukla,F. Sammy +7 more
TL;DR: An Alzheimer's disease detection framework consisting of image denoising of an MRI input data set using an adaptive mean filter, preprocessing using histogram equalization, and feature extraction by Haar wavelet transform is presented.
Journal ArticleDOI
Evaluation of Current Documents Image Denoising Techniques: A Comparative Study
TL;DR: Comparing achievements thus far in the area of nonnatural documents image denoising approaches is compared, existing techniques are organized into nonhomogeneous categories and detailed comparison is exhibited with examples.
References
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Book
Fundamentals of digital image processing
TL;DR: This chapter discusses two Dimensional Systems and Mathematical Preliminaries and their applications in Image Analysis and Computer Vision, as well as image reconstruction from Projections and image enhancement.
Book
Handbook of Image and Video Processing
TL;DR: The Handbook of Image and Video Processing contains a comprehensive and highly accessible presentation of all essential mathematics, techniques, and algorithms for every type of image and video processing used by scientists and engineers.
Journal ArticleDOI
Image Processing - Principles and Applications
Tinku Acharya,Ajoy Kumar Ray +1 more
TL;DR: This PDF file contains the editorial “Image Processing: Principles and Applications” for JEI Vol.
Proceedings ArticleDOI
Speckle filtering of SAR images: a comparative study between complex-wavelet-based and standard filters
Langis Gagnon,Alexandre Jouan +1 more
TL;DR: A comparative study between a complex Wavelet Coefficient Shrinkage filter and several standard speckle filters that are widely used in the radar imaging community finds that the WCS filter performs equally well as the standard filters for low- level noise and slightly outperforms them for higher-level noise.