Results 61 to 70 of about 16,544 (207)
This study uses advanced approaches on the enlarged BRATS dataset to increase brain magnetic resonance imaging (MRI) image reconstruction accuracy and reliability. This study addresses MRI image processing issues such as noise, artifacts, and high‐quality reconstruction. These traits are essential for brain tumor detection and analysis.
N. Sashi Prabha +2 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
EQAdap: Equipollent Domain Adaptation Approach to Image Deblurring
In this paper, we present an end-to-end unsupervised domain adaptation approach to image deblurring. This work focuses on learning and generalizing the complex latent space of the source domain and transferring the extracted information to the unlabeled ...
Ibsa Jalata +5 more
doaj +1 more source
A general framework for solving image inverse problems is introduced in this paper. The approach is based on Gaussian mixture models, estimated via a computationally efficient MAP-EM algorithm. A dual mathematical interpretation of the proposed framework
Mallat, Stéphane +2 more
core +3 more sources
Regularization by Global DGMRES Method for Ill‐Posed Matrix Equation AXB = G
In this article, we deal with the solution of the linear, large‐size, and ill‐posed matrix equation AXB = G, whose matrix G is contaminated with noise. We apply Tikhonov regularization in combination with the Gl‐DGMRES method to mitigate the effect of noise.
Vahid Hosseinabadi +2 more
wiley +1 more source
Real-time image acquisition and deblurring for underwater gravel extraction by smartphone
Gravel size distribution is an important aspect of stream investigation. Using water photography to determine such distribution is a simple and cost-effective approach for gathering instream gravel information.
Ming-Fu Chen +4 more
doaj +1 more source
Abstract Background For clinical implementation of quantitative MRI methods, it is necessary to understand the expected range of nominally healthy tissue properties. Additionally, to compare measurements across MRI systems or provide guidance for clinically meaningful change, these nominally healthy measurements should be completed with phantom ...
Kalina V. Jordanova +7 more
wiley +1 more source
Learning Blind Motion Deblurring
As handheld video cameras are now commonplace and available in every smartphone, images and videos can be recorded almost everywhere at anytime. However, taking a quick shot frequently yields a blurry result due to unwanted camera shake during recording ...
Hirsch, Michael +3 more
core +1 more source
AKG‐VO: Adaptive Keyframe Generation Method for Improving Visual Odometry in Autonomous Vehicles
An adaptive keyframe generation method for pose estimation is proposed, incorporating optical flow‐based interframe gap estimation and video frame interpolation techniques. By limiting interframe gaps, meaningful keyframes are generated to enhance tracking reliability.
Donghyun Lee +3 more
wiley +1 more source
Let's Enhance: A Deep Learning Approach to Extreme Deblurring of Text Images [PDF]
Theophil Trippe +3 more
openalex +1 more source

