Results 91 to 100 of about 32,314 (198)

A Comparison of Speckle Reduction Techniques in Medical Ultrasound Imaging

Applied Medical Informatics, 2015
Speckle noise is a multiplicative noise that degrades the visual evaluation in ultrasound imaging. In addition, it limits the efficient application of intelligent image processing algorithms, such as segmentation techniques. Thus, speckle noise reduction
Cristina STOLOJESCU-CRISAN
doaj  

Precision Denoising in Medical Imaging via Generative Adversarial Network-Aided Low-Noise Discriminator Technique

Mathematics
Medical imaging is significant for accurate diagnosis, and here, noise often degrades image quality, thus making it challenging to identify important information.
Turki M. Alanazi, Paolo Mercorelli
doaj   +1 more source

Application of Noise2Inverse and adaptation (Noise2Phase) to single‐mask x‐ray phase contrast micro‐computed tomography

Journal of Microscopy, EarlyView.
Abstract X‐ray phase contrast imaging (XPCI), when implemented in micro‐computed tomography (micro‐CT) mode, offers high‐contrast 3D imaging of weakly‐attenuating material samples. In the so‐called single‐mask edge illumination approach, a mask with periodically spaced transmitting apertures is used to split the x‐ray beam into narrow beamlets; when ...
Khushal Shah, Grammatiki Lioliou, Dai Chen, Alexander Denker, Peter Munro, Marco Endrizzi, Alberto Astolfo, Alessandro Olivo, Charlotte K. Hagen   +8 more
wiley   +1 more source

A novel fractional mask for image denoising based on fractal–fractional integral

Partial Differential Equations in Applied Mathematics
The paper introduced an image-denoising algorithm based on the fractal–fractional integral operator for removing Gaussian noise in images. Using this algorithm fractional masks have been constructed.
Krunal B. Kachhia, Prit P. Parmar
doaj   +1 more source

3SD: Rotational symmetry single‐shot denoising in fluorescence microscopy

Journal of Microscopy, EarlyView.
Abstract Image noise is a fundamental problem in fluorescence microscopy analysis, especially in live cell imaging applications where the number of detected photons is limited due to low power of excitation lasers to prevent phototoxicity during extended imaging experiments.
Tijmen H. de Wolf, Pleun Engbers, Justine Perrin, Julie Nonnekens, Ihor Smal   +4 more
wiley   +1 more source

A Jointly Optimized Variable M-QAM and Power Allocation Scheme for Image Transmission

Journal of Computer Networks and Communications, 2012
We introduce an improved image transmission scheme over wireless channels with flat Rayleigh fading. The proposed scheme jointly optimizes bit power and modulation level to maximize the peak signal-to-noise ratio (PSNR) of the reconstructed image and ...
Mohamed El-Tarhuni, Mohamed Hassan, Akram Bin Sediq   +2 more
doaj   +1 more source

A Spatio‐Temporal Diffusion Model for Cardiac Real‐Time Imaging

Magnetic Resonance in Medicine, Volume 95, Issue 6, Page 3574-3583, June 2026.
ABSTRACT Purpose Real‐time imaging of cardiac function is favorable due to shorter scan times and becomes necessary when arrhythmia or inability to hold breath leads to insufficient quality of electrocardiogram (ECG)‐gated Cartesian cine. However, comparable spatio‐temporal resolution can only be achieved in undersampled settings, which in turn demand ...
Oliver Schad, Julius Frederik Heidenreich, Nils Petri, Viktor Hartung, Alena Kollmann, Thorsten Alexander Bley, Peter Nordbeck, Bernhard Petritsch, Tobias Wech   +8 more
wiley   +1 more source

Zooming Into Clarity: Image Denoising Through Innovative Autoencoder Architectures

IEEE Access
In today’s era of increasing data complexity and pervasive noise, robust techniques for data processing, reconstruction, and denoising are crucial.
Khatereh Mohammadi, Ashhadul Islam, Samir Brahim Belhaouari   +2 more
doaj   +1 more source

A Z‐Score Template Method for Person‐Specific Augmentation of Clinical Brain MRI: An Investigation in Multiple Sclerosis

NMR in Biomedicine, Volume 39, Issue 6, June 2026.
This study develops a new Z‐score template method for person‐specific image synthesis to handle missing sequence problems as seen in multiple sclerosis (MS). The synthesized images show equivalency to source and cycle‐generative adversarial network (CycleGAN) outputs in both quality and treatment prediction in MS.
Olayinka Oladosu, Rehman Tariq, Shayan Shahrokhi, Yunyan Zhang   +3 more
wiley   +1 more source

Diffusion model‐regularized implicit neural representation for computed tomography metal artifact reduction

Quantitative Biology, Volume 14, Issue 2, June 2026.
Abstract Computed tomography (CT) images are often severely corrupted by artifacts in the presence of metals. Existing supervised metal artifact reduction (MAR) approaches suffer from performance instability on known data due to their reliance on limited paired metal‐clean data, which limits their clinical applicability. Moreover, existing unsupervised
Jie Wen, Chenhe Du, Xiao Wang, Yuyao Zhang   +3 more
wiley   +1 more source