Journal ArticleDOI
Impulse noise removal using SVM classification based fuzzy filter from gray scale images
TLDR
Support vector machine (SVM) classification based Fuzzy filter (FF) is proposed for removal of impulse noise from gray scale images and suggests that this system outperforms some of the state of art methods while preserving structural similarity to a large extent.About:
This article is published in Signal Processing.The article was published on 2016-11-01. It has received 84 citations till now. The article focuses on the topics: Salt-and-pepper noise & Impulse noise.read more
Citations
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Journal ArticleDOI
Different applied median filter in salt and pepper noise
TL;DR: DAMF could be successfully removed SAP noise at all densities and was compared with other methods by using Peak Signal to Noise Ratio (PSNR) and Structural Similarity (SSIM) for some images such as Cameraman and Lena.
Journal ArticleDOI
Combination of adaptive vector median filter and weighted mean filter for removal of high-density impulse noise from colour images
TL;DR: It is observed from the experiments that the proposed filter outperforms some of the existing noise removal techniques not only at low density impulse noise but also at high-density impulse noise.
Journal ArticleDOI
A fuzzy multi-objective hybrid TLBO-PSO approach to select the associated genes with breast cancer
TL;DR: A new hybrid algorithm is proposed to identify the most relevant genes involved in breast cancer development using a combination of the teaching learning-based optimization (TLBO) algorithm and the proposed mutated fuzzy adaptive particle swarm optimization (PSO) algorithm.
Journal ArticleDOI
SVM-based robust image watermarking technique in LWT domain using different sub-bands
TL;DR: Comparative analysis suggests that the proposed sub-band provides improved performance over some benchmark methods in most of the cases, whereas variation of robustness performance on different sub-bands depend on the type of attacks.
Journal ArticleDOI
Pixel similarity-based adaptive Riesz mean filter for salt-and-pepper noise removal
TL;DR: Results show that Adaptive Riesz Mean Filter outperforms the methods mentioned above, and the need for further research is discussed.
References
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Journal ArticleDOI
Image quality assessment: from error visibility to structural similarity
TL;DR: In this article, a structural similarity index is proposed for image quality assessment based on the degradation of structural information, which can be applied to both subjective ratings and objective methods on a database of images compressed with JPEG and JPEG2000.
Journal ArticleDOI
A Tutorial on Support Vector Machines for Pattern Recognition
TL;DR: There are several arguments which support the observed high accuracy of SVMs, which are reviewed and numerous examples and proofs of most of the key theorems are given.
Journal ArticleDOI
Support vector machines
TL;DR: This issue's collection of essays should help familiarize readers with this interesting new racehorse in the Machine Learning stable, and give a practical guide and a new technique for implementing the algorithm efficiently.
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