Convolved feature vector based adaptive fuzzy filter for image de-noising
Featured Application The proposed mechanism can be used as pre-processing module in
any image processing related application. Abstract In this paper, a convolved feature vector …
any image processing related application. Abstract In this paper, a convolved feature vector …
Performance comparison of decision-based median filtering for brain MR images with high multiplicative noise
I Qadir, V Devendran, F Qadir - International Journal of Computers …, 2024 - Taylor & Francis
Digital images, particularly medical images, are prone to various noise attacks, such as
additive, multiplicative, etc. Salt and pepper noise (SPN) is a type of multiplicative noise that …
additive, multiplicative, etc. Salt and pepper noise (SPN) is a type of multiplicative noise that …
[PDF][PDF] A Neighborhood Impact Driven K-Medoid Clustering and Fuzzy Logic Blended Approach for High Density Impulse Noise Detection and Removal
A Bandyopadhyay, K Deb, A Chakraborty… - Traitement du …, 2022 - researchgate.net
Accepted: 10 October 2022 In the field of image processing, removing impulse noise has
been regarded as one of the most important tasks, primarily because of the noise pattern it …
been regarded as one of the most important tasks, primarily because of the noise pattern it …
Adaptive Threshold and Directional Weighted Median Filter-Based Impulse Noise Removal Method for Images
M Biswas - International Journal of Software Innovation (IJSI), 2022 - igi-global.com
Elimination of impulse noise in image snap shots with side renovation is one of the complex
duties in digital image processing. In this paper, the removal of random impulse noise is …
duties in digital image processing. In this paper, the removal of random impulse noise is …
[PDF][PDF] Filtering Random Valued Impulse Noise from Grayscale Images through Support Vector Machine and Markov Chain
This paper presents a context-based filter to denoise grayscale images affected by random
valued impulse noise. A support vector machine classifier is used for noise detection and …
valued impulse noise. A support vector machine classifier is used for noise detection and …