Results 71 to 80 of about 18,244,520 (347)
Multicomponent MR Image Denoising [PDF]
International Journal of Biomedical Imaging, 2009 Magnetic Resonance images are normally corrupted by random noise from the measurement process complicating the automatic feature extraction and analysis of clinical data. It is because of this reason that denoising methods have been traditionally applied to improve MR image quality.
José V. Manjón +5 more
openaire +5 more sources
Learning-based Low Light Image Denoising [PDF]
, 2023 openDenoising low-light images is a challenging task due to the high noise level. When the illumination is low, digital cameras increase the ISO (electronic gain) to amplify the brightness of captured data.
ALNAJJAR, ESRAA M B
core
An affine symmetric image model and its applications [PDF]
, 2010 Natural images contain considerable redundancy, some of which is successfully captured using recently developed directional wavelets. In this paper, an affine symmetric image model is considered.
Park, Heechan +2 more
core +1 more source
IEEE Access, 2020 Removal Poisson noise poses a very challenging technical issue because it is difficult to capture noise characteristics. This induces from the fact that Poisson noises from different sources affect each image pixel proportional to the pixel level.
Wuttipong Kumwilaisak +3 more
doaj +1 more source
Applied Sciences, 2023 Infrared (IR) Image preprocessing is aimed at image denoising and enhancement to help with small target detection. According to the sparse representation theory, the IR original image is low rank, and the coefficient shows a sparse character.
Juan Chen +5 more
doaj +1 more source
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss [PDF]
IEEE Transactions on Medical Imaging, 2017 The continuous development and extensive use of computed tomography (CT) in medical practice has raised a public concern over the associated radiation dose to the patient.
Qingsong Yang +9 more
semanticscholar +1 more source
Image denoising with directional bases [PDF]
, 2007 Directional information is an important component of both natural and synthetic images, and it is exploited in many image processing applications. Directional basis analysis is used to capture significant structural information.
Park, Heechan +3 more
core
Molecular Oncology, EarlyView.Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur +11 more
wiley +1 more source
Wavelet and Wavelet Packet Analysis For Image Denoising [PDF]
Engineering and Technology Journal, 2009 The denoising method based on wavelet or wavelet packet is used widely for image denoising. It is one of the most popular methods that depends on thresholding the wavelet coefficients using the Soft threshold.
Aymen Dawood Salman
doaj +1 more source