A Simple Fuzzy Method to Remove Mixed Gaussian-Impulsive Noise From Color Images
TLDR
A fuzzy rule system is used to assign the weights in the averaging so that both noise types are reduced and image structures are preserved and the performance of the method is competitive with respect to state-of-the-art filters.Abstract:
Mixed impulsive and Gaussian noise reduction from digital color images is a challenging task because it is necessary to appropriately process both types of noise that in turn need to be distinguished from the original image structures such as edges and details. Fuzzy theory is useful to build simple, efficient, and effective solutions for this problem. In this paper, we propose a fuzzy method to reduce Gaussian and impulsive noise from color images. Our method uses one only filtering operation: a weighted averaging. A fuzzy rule system is used to assign the weights in the averaging so that both noise types are reduced and image structures are preserved. We provide experimental results to show that the performance of the method is competitive with respect to state-of-the-art filters.read more
Citations
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Fast averaging peer group filter for the impulsive noise removal in color images
Lukasz Malinski,Bogdan Smolka +1 more
TL;DR: The new filtering design proved to restore efficiently color images corrupted by even strong impulsive noise, while preserving tiny image details, which allows its application in real-time image processing tasks.
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Removal of impulse noise in color images based on convolutional neural network
TL;DR: Experimental results show that the proposed denoiser outperforms other state-of-the-art methods clearly in both performance measure and visual evaluation.
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Two-stage quaternion switching vector filter for color impulse noise removal
TL;DR: The proposed solution is a quaternion switching vector filter in which the impulse detection consists of two stages and the concept of peer group is modified and extended to the directional samples to further detect whether they are corrupted by impulse noise or not.
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Sequence-to-Sequence Similarity-Based Filter for Image Denoising
TL;DR: A new concept of sequence-to-sequence similarity (SSS) is presented, an efficient method to evaluate the content similarity for images, especially for edge information, and a new SSS-based filter is introduced, which utilizes the edge information in the corrupted image to address image denoising problems.
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A fuzzy logic expert system for selecting optimal and sustainable life cycle maintenance and rehabilitation strategies for road pavements
TL;DR: Aged road pavements and insufficient maintenance budgets, along with increasing concerns over the environmental issues related to transportation have introduced additional challenges to highway age-related challenges.
References
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TL;DR: Fuzzy controllers are a class of knowledge based controllers using artificial intelligence techniques with origins in fuzzy logic that can be found either as stand-alone control elements or as int ...
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