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Journal ArticleDOI

A fuzzy filter for the removal of random impulse noise in image sequences

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TLDR
Experimental results show that the new fuzzy filter for the removal of random impulse noise in digital grayscale image sequences outperforms other state-of-the-art filters in terms of the peak-signal-to-noise ratio as well as visual quality.
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This article is published in Image and Vision Computing.The article was published on 2011-05-01. It has received 29 citations till now. The article focuses on the topics: Salt-and-pepper noise & Median filter.

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Citations
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Journal ArticleDOI

Adaptive rank weighted switching filter for impulsive noise removal in color images

TL;DR: A novel approach to the problem of impulsive noise removal in color digital images is presented, based on the rank weighted, cumulated pixel dissimilarity measures, which allows for its application in real-time applications.
Journal ArticleDOI

Quaternion-Based Impulse Noise Removal From Color Video Sequences

TL;DR: The experimental results show that the proposed algorithm significantly outperforms other state-of-the-art video denoising methods in terms of both objective measure and visual evaluation.
Journal ArticleDOI

A quaternion-based switching filter for colour image denoising

TL;DR: The proposed improved quaternion switching filter for colour image denoising has superior performance which not only provides the best noise suppression results but also yields better image quality compared to other widely used filters.
Journal ArticleDOI

Efficient parallelization on GPU of an image smoothing method based on a variational model

TL;DR: This study presents and discusses an implementation of a highly efficient algorithm for image noise smoothing based on general purpose computing on graphics processing units techniques, which facilitates the quick and efficient smoothing of images corrupted by noise, even when performed on large-dimensional data sets.
Journal Article

Remarks on noise removal in infrared images

TL;DR: This work focused on investigation of some filters normally used for image processing and their influence to IR image quality, and evaluated the performance of selected noise reduction filters using PSNR and MAE quality measure.
References
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Book

Fuzzy sets

TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
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Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering

TL;DR: An algorithm based on an enhanced sparse representation in transform domain based on a specially developed collaborative Wiener filtering achieves state-of-the-art denoising performance in terms of both peak signal-to-noise ratio and subjective visual quality.
Journal ArticleDOI

A new diamond search algorithm for fast block-matching motion estimation

TL;DR: Experimental results show that the proposed diamond search (DS) algorithm is better than the four-step search (4SS) and block-based gradient descent search (BBGDS), in terms of mean-square error performance and required number of search points.
Journal ArticleDOI

A novel four-step search algorithm for fast block motion estimation

TL;DR: Simulation results show that the proposed 4SS performs better than the well-known three- step search and has similar performance to the new three-step search (N3SS) in terms of motion compensation errors.
Journal ArticleDOI

Center weighted median filters and their applications to image enhancement

TL;DR: The center weighted median (CWM) filter as discussed by the authors is a weighted median filter that gives more weight only to the central value of each window, which can preserve image details while suppressing additive white and/or impulsive-type noise.
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