Results 11 to 20 of about 2,969,604 (339)

FastHyMix: Fast and Parameter-Free Hyperspectral Image Mixed Noise Removal [PDF]

open access: yesIEEE Transactions on Neural Networks and Learning Systems, 2021
The decrease in the widths of spectral bands in hyperspectral imaging leads to a decrease in signal-to-noise ratio (SNR) of measurements. The decreased SNR reduces the reliability of measured features or information extracted from hyperspectral images ...
Lina Zhuang, Michael K. Ng
semanticscholar   +1 more source

Order Space-Based Morphology for Color Image Processing

open access: yesJournal of Imaging, 2023
Mathematical morphology is a fundamental tool based on order statistics for image processing, such as noise reduction, image enhancement and feature extraction, and is well-established for binary and grayscale images, whose pixels can be sorted by their ...
Shanqian Sun   +3 more
doaj   +1 more source

Natural digital image mixed noise removal using regularization Perona–Malik model and pulse coupled neural networks

open access: yesSoft Computing - A Fusion of Foundations, Methodologies and Applications, 2023
In the arena of digital image processing, mixed noise is normally depicted. Nevertheless, the main limitation of the existing noise removal methods is the exploitation of the statistics of the original contaminated image.
A. Khmag
semanticscholar   +1 more source

Progressive Joint Low-Light Enhancement and Noise Removal for Raw Images [PDF]

open access: yesIEEE Transactions on Image Processing, 2021
Low-light imaging on mobile devices is typically challenging due to insufficient incident light coming through the relatively small aperture, resulting in low image quality.
Yucheng Lu, Seung‐Won Jung
semanticscholar   +1 more source

On the Fractionalization of the Shift Operator on Graphs

open access: yesIEEE Access, 2022
The theory of graph signal processing has been established with the purpose of generalizing tools from classical digital signal processing to the cases where the signal domain can be modeled by an arbitrary graph.
Guilherme B. Ribeiro   +2 more
doaj   +1 more source

Deep-Learning-Based Algorithm for the Removal of Electromagnetic Interference Noise in Photoacoustic Endoscopic Image Processing

open access: yesSensors, 2022
Despite all the expectations for photoacoustic endoscopy (PAE), there are still several technical issues that must be resolved before the technique can be successfully translated into clinics.
Oleksandra Gulenko   +7 more
doaj   +1 more source

On the Properties of Some Adaptive Morphological Filters for Salt and Pepper Noise Removal

open access: yesImage Analysis and Stereology, 2021
Mathematical Morphology (MM) is a tool that can be applied to many digital image processing tasks that include the reduction of impulsive or salt and pepper noise in grayscale images.
Marisol Mares-Javier   +3 more
doaj   +1 more source

Impulsive Noise Suppression Methods Based on Time Adaptive Self-Organizing Map

open access: yesEnergies, 2023
Removal of noise and restoration of images has been one of the most interesting topics in the field of image processing in the past few years. Existing filter-based methods can remove image noise; however, they cannot preserve image quality and ...
Seyed Hamidreza Hazaveh   +5 more
doaj   +1 more source

Impulsive Noise Removal with an Adaptive Weighted Arithmetic Mean Operator for Any Noise Density

open access: yesApplied Sciences, 2021
Many computer vision algorithms which are not robust to noise incorporate a noise removal stage in their workflow to avoid distortions in the final result. In the last decade, many filters for salt-and-pepper noise removal have been proposed.
Manuel González-Hidalgo   +3 more
doaj   +1 more source

Removing Noise From Pyrosequenced Amplicons [PDF]

open access: yesBMC Bioinformatics, 2011
In many environmental genomics applications a homologous region of DNA from a diverse sample is first amplified by PCR and then sequenced. The next generation sequencing technology, 454 pyrosequencing, has allowed much larger read numbers from PCR amplicons than ever before. This has revolutionised the study of microbial diversity as it is now possible
Quince, Christopher   +3 more
openaire   +6 more sources

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