Results 251 to 260 of about 13,906,445 (282)

A Weighted Difference of Anisotropic and Isotropic Total Variation Model for Image Processing

SIAM Journal on Imaging Sciences, 2015
Summary: We propose a weighted difference of anisotropic and isotropic total variation (TV) as a regularization for image processing tasks, based on the well-known TV model and natural image statistics. Due to the form of our model, it is natural to compute via a difference of convex algorithm (DCA).
Yifei Lou, Tieyong Zeng, Stanley J. Osher, Jack Xin   +3 more
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Modeling Textures with Total Variation Minimization and Oscillating Patterns in Image Processing

Journal of Scientific Computing, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Luminita A. Vese, Stanley J. Osher
openaire   +2 more sources

Image Processing and Analysis

2005
Preface 1. Introduction 2. Some modern image analysis tools 3. Image modeling and representation 4. Image denoising 5. Image deblurring 6. Image inpainting 7. Image processing: segmentation Bibliography Index.
Chan, Tony F., Shen, Jianhong
openaire   +1 more source

Pre-Processing for Image Sequence Visualization Robust to Illumination Variations

2012
Several images (a sequence) may be used to obtain better image quality. This method is perfect for super-resolution algorithms, which improve sub-pixel clarity of the image and allow a more detailed view. It is possible that illumination variations, e.g. those caused by a light source, lessen the benefits of super-resolution algorithms.
Šoda, Joško, Beroš, Slobodan, Kuzmanić, Ivica, Vujović, Igor   +3 more
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3D image processing for mitochondria morphology variation analysis

2014 IEEE International Symposium on Bioelectronics and Bioinformatics (IEEE ISBB 2014), 2014
Mitochondria play an important role in producing energy of cell, aging and cell death. Previous investigations suggest that mitochondrial dysfunctions are associated with neurodegenerative, and the peripheral blood cells of those patients have validation of mitochondrial morphology.
null Han-Wei Dan, null Wan-Chi Hung, null Yuh-Show Tsai, null Chung-Chih Lin   +3 more
openaire   +1 more source

New discretization of total variation functional for image processing tasks

Signal Processing: Image Communication, 2019
Abstract In this paper, a new discretization of total variation model is proposed to solve mathematical image problems. By using difference operators in the four directions (i.e. horizontal, vertical and two diagonal directions) an estimation of derivative amplitude is found.
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Sparse Representation and Variational Methods in Retinal Image Processing

2010
Relations between different types of cameras used for retinal imaging were studied with the purpose of improving the quantitative precision of the imaging data (used for diagnostics and medical research). Based on the differences in visual quality and quantitative parameters, we designed analytical models of the effects that cameras introduce into the ...
J. Dobrosotskaya, M. Ehler, E. King, R. Bonner, W. Czaja   +4 more
openaire   +1 more source

Variational and PDE-based methods for image processing.

2018
In this thesis, we study modern variational and partial differential equation (PDE)-based methods for three image analysis applications, namely, image denoising, image segmentation, and surface reconstruction from point clouds. A common feature these applications have is the use of novel variational formulations. For image denoising, we focus on higher
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Variational Methods in Image Processing

2015
Luminita A. Vese, Carole Le Guyader
openaire   +1 more source

A novel variational optimization model for medical CT and MR image fusion

Signal, Image and Video Processing, 2022
Mingcheng Zuo, Qinxia Wang
exaly