Results 21 to 30 of about 13,906,445 (282)
An Efficient Method for Euler’s Elastica Based Image Deconvolution
IEEE Access, 2019 Variational models involving Euler's elastica energy have a wide range of applications in digital image processing. Recently, fast methods, such as the proximal-augmented Lagrangian method (PALM), have been successfully used to solve nonlinear higher ...
Samad Wali +6 more
doaj +1 more source
Joint Demosaicing and Denoising Based on a Variational Deep Image Prior Neural Network
Sensors, 2020 A joint demosaicing and denoising task refers to the task of simultaneously reconstructing and denoising a color image from a patterned image obtained by a monochrome image sensor with a color filter array.
Yunjin Park +3 more
doaj +1 more source
Feature Reconstruction from Incomplete Tomographic Data without Detour
Mathematics, 2022 In this paper, we consider the problem of feature reconstruction from incomplete X-ray CT data. Such incomplete data problems occur when the number of measured X-rays is restricted either due to limit radiation exposure or due to practical constraints ...
Simon Göppel +2 more
doaj +1 more source
Unsupervised Transformer Balanced Hashing for Multispectral Remote Sensing Image Retrieval
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 For remote sensing (RS) image retrieval task, hashing technology have been extensively researched in recent works. Unsupervised hashing approaches have attracted much attention in the RS data processing field because label collection takes a lot of time.
Yaxiong Chen +3 more
doaj +1 more source
Fast and Adaptive Boosting Techniques for Variational Based Image Restoration
IEEE Access, 2019 Variational based problems are an important class of problems and have a space of improvement in image processing. Boosting techniques have been shown capable of improving many image restoration algorithms.
Samad Wali +6 more
doaj +1 more source
Fractional-Order Variational Image Fusion and Denoising Based on Data-Driven Tight Frame
Mathematics, 2023 Multi-modal image fusion can provide more image information, which improves the image quality for subsequent image processing tasks. Because the images acquired using photon counting devices always suffer from Poisson noise, this paper proposes a new ...
Ru Zhao, Jingjing Liu
doaj +1 more source
IEEE Access, 2020 In image processing and computer vision, image segmentation plays a fundamental role since it can make images easier to analyze. However, noise is easily introduced into images and brings great challenges to image segmentation.
Cheng Liu, Weibin Liu, Weiwei Xing
doaj +1 more source
Journal of Robotics, 2022 The rapid development of the information age brings convenience to human life, but it also brings great challenges to information processing technology. Multimedia enhancement technology is an organic combination of multimedia technology and information ...
Yanmin Wu, Jinli Qi
doaj +1 more source
Introduction to variational image-processing models and applications [PDF]
International Journal of Computer Mathematics, 2013 Variational image-processing models offer high-quality processing capabilities for imaging. They have been widely developed and used in the last two decades, enriching the fields of mathematics as well as information science. Mathematically, several tools are needed: energy optimization, regularization, partial differential equations, level set ...
openaire +2 more sources
Journal of Mathematics, 2021 This paper establishes the existence and uniqueness of weak solutions for the initial-boundary value problem of anisotropic nonlinear diffusion partial differential equations related to image processing and analysis. An implicit iterative method combined
Anas Tiarimti Alaoui, Mostafa Jourhmane
doaj +1 more source