Search Results - Variational image processing

Application of Variational AutoEncoder (VAE) Model and Image Processing Approaches in Game Design by Mak, Hugo Wai Leung, Han, Runze, Yin, Hoover H. F.

“…In recent decades, the Variational AutoEncoder (VAE) model has shown good potential and capability in image generation and dimensionality reduction…”
Get full text

Whiteness-based parameter selection for Poisson data in variational image processing by Bevilacqua, Francesca, Lanza, Alessandro, Pragliola, Monica, Sgallari, Fiorella

“…•Design of a novel parameter selection criterion for variational models under Poisson noise corruption…”
Get full text

Implementation of high-order variational models made easy for image processing by Lu, Wenqi, Duan, Jinming, Qiu, Zhaowen, Pan, Zhenkuan, Liu, Ryan Wen, Bai, Li

“…High‐order variational models are powerful methods for image processing and analysis, but they can lead to complicated high…”
Get full text

Fusion-Based Variational Image Dehazing by Galdran, Adrian, Vazquez-Corral, Javier, Pardo, David, Bertalmio, Marcelo

“… The proposed fusion-based variational image-dehazing (FVID) method is a spatially varying image enhancement process that first minimizes a previously proposed variational formulation that maximizes contrast and saturation on the hazy input…”
Get full text

On convergent finite difference schemes for variational–PDE-based image processing by Prasath, V. B. Surya, Moreno, Juan C.

“…We study an adaptive anisotropic Huber functional-based image restoration scheme…”
Get full text

Introduction to variational image-processing models and applications by Chen, Ke

“…Variational image-processing models offer high-quality processing capabilities for imaging…”
Get full text

Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage by Chambolle, A., De Vore, R. A., Nam-Yong Lee, Lucier, B. J.

“…This paper examines the relationship between wavelet-based image processing algorithms and variational problems…”
Get full text

Control of Variance and Bias in CT Image Processing with Variational Training of Deep Neural Networks by Tivnan, Matthew, Wang, Wenying, Gang, Grace, Noël, Peter, Stayman, J Webster

“…Optimization of CT image quality typically involves balancing noise and bias. In filtered back-projection, this trade-off is controlled by the particular filter and cutoff frequency…”
Get more information

An image processing algorithm for image fusion via variational mode decomposition and its implementation on embedded platforms by Agarwal, Ankur, Sharma, K. K.

Get full text

Solving variational problems in image processing via projections - a common view on TV denoising and wavelet shrinkage by Lorenz, D.A.

“…In this paper we investigate a special class of minimization problems for image denoising and deblurring…”
Get full text

Variational denoising of partly textured images by spatially varying constraints by Gilboa, G., Sochen, N., Zeevi, Y.Y.

“…Denoising algorithms based on gradient dependent regularizers, such as nonlinear diffusion processes and total variation denoising, modify images towards piecewise constant functions…”
Get full text

Subspace Correction Methods for a Class of Nonsmooth and Nonadditive Convex Variational Problems with Mixed$L^1/L^2$Data-Fidelity in Image Processing by Hintermüller, Michael, Langer, Andreas

“…$ data-fidelity term is proposed. It is shown analytically and numerically that the new model has noticeable advantages over popular models in image processing tasks…”
Get full text

Variational Anisotropic Gradient-Domain Image Processing by Farup, Ivar

“…Gradient-domain image processing is a technique where, instead of operating directly on the image pixel values, the gradient of the image is computed and processed…”
Get full text

Forward-reflected-backward algorithms with double inertial extrapolations for variational inequalities with applications to image processing by Yao, Yonghong, Adamu, Abubakar, Shehu, Yekini, Yao, Jen-Chih

Get full text

Compressed MRI reconstruction exploiting a rotation-invariant total variation discretization by Esfahani, Erfan Ebrahim, Hosseini, Alireza

“…Inspired by the first-order method of Malitsky and Pock, we propose a new variational framework for compressed MR image reconstruction which introduces the application of a rotation-invariant…”
Get full text

Automatic 3D joint erosion detection for the diagnosis and monitoring of rheumatoid arthritis using hand HR-pQCT images by Zhang, Xuechen, Cheng, Isaac, Liu, Shaojun, Li, Chenrui, Xue, Jing-Hao, Tam, Lai-Shan, Yu, Weichuan

“… However, automatic erosion detection tools using HR-pQCT images are not yet available. Inspired by the consensus among radiologists on the erosions in HR-pQCT images…”
Get full text

Image enhancement variational methods for enabling strong cost reduction in OLED‐based point‐of‐care immunofluorescent diagnostic systems by Lazzaro, D., Morigi, S., Melpignano, P., Loli Piccolomini, E., Benini, L.

“… We present a novel variational coupled model for the joint super‐resolution and segmentation stage and an automatic innovative image analysis…”
Get full text

Digital model creation and image meticulous processing based on variational partial differential equation by Wang, Pei, Sulaimani, Hani Jamal, Kim, Sae Hoon

“… to accurately recover the original image, both of them are unwell-posed inverse problems. Therefore, on the basis of understanding the basic content and application research status of variational partial differential equations (PDEs…”
Get full text

Small-data image classification via drop-in variational autoencoder by Mahdian, Babak, Nedbal, Radim

“… In this paper, we propose a drop-in variational autoencoder (VAE) for the task of supervised learning using an extremely small train set (i.e., n = 1…”
Get full text

Recovery of CT stroke hypodensity – An adaptive variational approach by Przelaskowski, Artur

“…•We designed and verified computerized support of acute stroke diagnosis.•Novelty is application of integrated variational approach to detect ischemic edema…”
Get full text