Results 51 to 60 of about 12,142,372 (124)
Motion Deblurring in Image Color Enhancement by WGAN
Motion deblurring and image enhancement are active research areas over the years. Although the CNN-based model has an advanced state of the art in motion deblurring and image enhancement, it fails to produce multitask results when challenged with the ...
Jiangfan Feng, Shuang Qi
doaj +1 more source
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
Abstract Since its introduction 40 years ago, atomic force microscopy (AFM) has transformed nanoscale imaging across the physical and life sciences. In biology, AFM has provided unprecedented insights into nanoscale biomolecular organisation under near‐physiological conditions, revealing structures and interactions inaccessible to many conventional ...
Yueqi Wang +5 more
wiley +1 more source
This article presents an image deblurring method using ℓ0-norm-based deblurring and ℓ2-norm-based texture-aware image fusion for remote sensing images.
Heunseung Lim +4 more
doaj +1 more source
ABSTRACT Purpose To develop an MRI approach for simultaneous skull and brain temperature monitoring between sonications in transcranial MR‐guided focused ultrasound (MRgFUS) surgeries. Methods A 3D stack‐of‐spirals dual‐echo ultra‐short TE (UTE) sequence incorporating fat suppression, spiral deblurring, trajectory measurement, and B1 correction was ...
Sheng Chen +4 more
wiley +1 more source
An effective document image deblurring algorithm
Deblurring camera-based document image is an important task in digital document processing, since it can improve both the accuracy of optical character recognition systems and the visual quality of document images.
Wu, Q +7 more
core +1 more source
Red Fluorescent Labeling of Myelin by Membrane‐Targeted tdTomato in Transgenic Mouse Lines
Transgenic mouse lines expressing membrane‐targeted tdTomato in myelin enable imaging of myelin in the red spectral range. Distinct expression patterns range from wide‐spread labeling to sparse single‐cell resolution, supporting diverse imaging applications.
Anja Reinert +15 more
wiley +1 more source
An Efficient Blind Image Deblurring Algorithm
This paper presents a novel algorithm which concerns with the fast implement of blind image deblurring with a well-reconstructed original image. Firstly, we model both the original image and the blur utilizing the harmonic model in the Sobolev image ...
Su Xiao +3 more
core +1 more source
Image deblurring has been a challenging ill-posed problem in computer vision. Gaussian blur is a common model for image and signal degradation. The deep learning-based deblurring methods have attracted much attention due to their advantages over the ...
Quan Zhou, Mingyue Ding, Xuming Zhang
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ABSTRACT Purpose To extend localized quadratic (LQ) RF encoded spin‐echo imaging with acquisition and reconstruction strategies that improve efficiency and artifact robustness, positioning it as a practical alternative to 3D FSE for high‐resolution volumetric brain MRI.
Guruprasad Krishnamoorthy +2 more
wiley +1 more source

