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Geometry-Aware Human Noise Removal from TLS Point Clouds via 2D Segmentation Projection [PDF]

open access: yesSensors
Large-scale terrestrial laser scanning (TLS) point clouds are increasingly used for applications such as digital twins and cultural heritage documentation; however, removing unwanted human points captured during acquisition remains a largely manual and ...
Fuga Komura   +2 more
doaj   +2 more sources

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

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

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

Anisotropic Weighted Total Variation Feature Fusion Network for Remote Sensing Image Denoising

open access: yesRemote Sensing, 2022
Remote sensing images are widely applied in instance segmentation and objetive recognition; however, they often suffer from noise, influencing the performance of subsequent applications.
Huiqing Qi, Shengli Tan, Zhichao Li
doaj   +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

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

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

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

An Advanced Noise Reduction and Edge Enhancement Algorithm

open access: yesSensors, 2021
Complementary metal-oxide-semiconductor (CMOS) image sensors can cause noise in images collected or transmitted in unfavorable environments, especially low-illumination scenarios.
Shih-Chia Huang   +8 more
doaj   +1 more source

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