An L1-based variational model for Retinex theory and its application to medical images

CVPR 2011 ◽  
2011 ◽  
Author(s):  
Wenye Ma ◽  
Jean-Michel Morel ◽  
Stanley Osher ◽  
Aichi Chien
Keyword(s):  
Medical Images ◽  
Variational Model ◽  
Retinex Theory

Weighted variational model for selective image segmentation with application to medical images

2018 ◽  
Vol 76 ◽  
pp. 367-379 ◽  
Author(s):  
Chunxiao Liu ◽  
Michael Kwok-Po Ng ◽  
Tieyong Zeng
Keyword(s):  
Image Segmentation ◽  
Medical Images ◽  
Variational Model

scholarly journals AN ADAPTIVE VARIATIONAL MODEL FOR MEDICAL IMAGES RESTORATION

2019 ◽  
Vol XLII-2/W12 ◽  
pp. 219-224
Author(s):  
T. T. T. Tran ◽  
C. T. Pham ◽  
A. V. Kopylov ◽  
V. N. Nguyen
Keyword(s):  
Optimization Problem ◽  
Medical Images ◽  
Variational Model ◽  
Imaging Analysis ◽  
Split Bregman Method ◽  
Split Bregman ◽  
Piecewise Constant ◽  
First Order ◽  
Proposed Model ◽  
Staircase Effect

<p><strong>Abstract.</strong> Image denoising is one of the important tasks required by medical imaging analysis. In this work, we investigate an adaptive variation model for medical images restoration. In the proposed model, we have used the first-order total variation combined with Laplacian regularizer to eliminate the staircase effect in the first-order TV model while preserve edges of object in the piecewise constant image. We also propose an instance of Split Bregman method to solve the proposed denoising model as an optimization problem. Experimental results from mixed Poisson-Gaussian noise are given to demonstrate that our proposed approach outperforms the related methods.</p>

A Multi-Exposure Variational Method for Retinex

2017 ◽  
Vol 7 (1) ◽  
pp. 156-171
Author(s):  
Xue Yang ◽  
Yu-Mei Huang
Keyword(s):  
Variational Method ◽  
Existence And Uniqueness ◽  
Variational Model ◽  
Alternating Minimization ◽  
Single Image ◽  
Minimization Method ◽  
Proposed Model ◽  
Retinex Theory ◽  
The Given ◽  
Alternating Minimization Method

AbstractRetinex theory explains how the human visual system perceives colors. The goal of retinex is to decompose the reflectance and the illumination from the given images and thereby compensating for non-uniform lighting. The existing methods for retinex usually use a single image with a fixed exposure to restore the reflectance of the image. In this paper, we propose a variational model for retinex problem by utilizing multi-exposure images of a given scene. The existence and uniqueness of the solutions of the proposed model have been elaborated. An alternating minimization method is constructed to solve the proposed model and its convergence is also demonstrated. The experimental results show that the proposed method is effective for reflectance recovery in retinex problem.

Editor’s Pick: Regulatory and Ethical Issues in the New Era of Radiomics and Radiogenomics

EMJ Radiology ◽  
2020 ◽  
Author(s):  
Filippo Pesapane
Keyword(s):  
Ethical Issues ◽  
Medical Images ◽  
Practical Significance ◽  
Innovative Technology ◽  
New Era ◽  
Naked Eye ◽  
Disease Characteristics ◽  
The Future ◽  
Using Data ◽  
The Relationship

Radiomics is a science that investigates a large number of features from medical images using data-characterisation algorithms, with the aim to analyse disease characteristics that are indistinguishable to the naked eye. Radiogenomics attempts to establish and examine the relationship between tumour genomic characteristics and their radiologic appearance. Although there is certainly a lot to learn from these relationships, one could ask the question: what is the practical significance of radiogenomic discoveries? This increasing interest in such applications inevitably raises numerous legal and ethical questions. In an environment such as the technology field, which changes quickly and unpredictably, regulations need to be timely in order to be relevant.  In this paper, issues that must be solved to make the future applications of this innovative technology safe and useful are analysed.

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