Results 91 to 100 of about 12,815 (208)
Computer Graphics Forum, EarlyView.We introduce the physically based neural BRDF, a novel continuous representation for material appearance based on neural fields. Our model accurately performs real‐world material reconstruction, generation and editing, while uniquely enhancing the physical accuracy of neural BRDFs via three key aspects: energy conservation, Helmholtz reciprocity and ...
C. Zhou +8 more
wiley +1 more source
, 2008 This article presents an original method to validate the efficiency of the short length maximum separable distance forward error codes when using broadcasting mode in 802.11b/g multimedia streaming. Our method is based on real traces on which the forward
Adrien Henriet, Julien Bourgeois
core
A New Method of Blurring and Deblurring Digital Images Using the Markov Basis
, 2016 In this paper, we introduce a new method of blurring and deblurring digital images using new filters generating from Average filter using HB Markov basis. We call these filters HB-filters.
KawtherBasim Rasool al-dbag +2 more
core +1 more source
International Endodontic Journal, EarlyView.ABSTRACT Background Computer vision methods based on artificial intelligence (AI) have found numerous applications in endodontic diagnosis and treatment planning. While most current applications employ discriminative deep learning models for detection and classification tasks, the field is now witnessing the rise of generative AI (GenAI), a class of AI
Hossein Mohammad‐Rahimi +6 more
wiley +1 more source
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 +8 more
wiley +1 more source
A New Shearlet Framework for Image Denoising
Iranian Journal of Electrical and Electronic Engineering, 2016 Traditional noise removal methods like Non-Local Means create spurious boundaries inside regular zones. Visushrink removes too many coefficients and yields recovered images that are overly smoothed.
E. Ehsaeyan
doaj
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 +4 more
wiley +1 more source
Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1293-1302, September 2026.ABSTRACT Purpose We introduce DeepRelaxo, a fast and generalizable deep learning method for estimating brain R2* maps from multi‐echo gradient echo (ME‐GRE) acquisitions with arbitrary echo configurations, including shortened echo trains for accelerated scans.
Samiha Prima +3 more
wiley +1 more source
PENYEMATAN CITRA DIGITAL KE DALAM CITRA DIGITAL MENGGUNAKAN METODE STEGANOGRAFI LEAST SIGNIFICANT BIT (LSB) DAN DISCRETE COSINE TRANSFORM (DCT) [PDF]
, 2022 Salah satu metode untuk melindungi informasi penting adalah steganografi yang merupakan sebuah teknik menyembunyikan informasi ke dalam multimedia seperti teks, citra digital, video, dan audio.
Rizkia Fahmi Noviansyah Imanudin, -
core
Time‐Conditioned Zero‐Shot Self‐Supervised Reconstruction for Accelerated 3D Ultra‐Low‐Field MRI
Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1303-1312, September 2026.ABSTRACT Purpose Ultra‐low‐field (ULF) MRI provides a cost‐effective, portable imaging option but has relatively low SNR and long acquisition times compared to standard clinical scans. This study presents a time‐conditioned zero‐shot self‐supervised learning image reconstruction framework (ULF‐ZS‐SSL) to accelerate 3D‐acquired single‐coil ULF MRI ...
Mart W. J. van Straten +6 more
wiley +1 more source