Computing Reviews
Today's Issue Hot Topics Search Browse Recommended My Account Log In
Browse by topic Browse by titles Authors Reviewers Browse by issue Browse Help
Search
 
Journal of Mathematical Imaging and Vision
Kluwer Academic Publishers
 
   
 
Options:
 
  1-10 of 20 reviews Date Reviewed 
  Symmetric masks for in-fill pixel interpolation on discrete p:q lattices
Ceko M., Guinard A., Svalbe I. Journal of Mathematical Imaging and Vision 60(3): 304-312, 2018.  Type: Article

This paper is an extension of a conference paper presented by the second two authors [1]. The authors consider the problem of how to fill in the blank pixel values that result from an affine rotation of a 2D image....

Jun 20 2018
  GC1 shape-preserving trigonometric surfaces
Hussain M., Hussain M., Waseem A., Javaid M. Journal of Mathematical Imaging and Vision 53(1): 21-41, 2015.  Type: Article

This paper addresses the issue of interpolation for 3D surfaces, required in fields like robotics, data analysis and visualization, and animation. It proposes an interpolation algorithm that is able to generate 3D surfaces, developed o...

Oct 8 2015
   Globally optimal joint image segmentation and shape matching based on Wasserstein modes
Schmitzer B., Schnörr C. Journal of Mathematical Imaging and Vision 52(3): 436-458, 2015.  Type: Article

At times, the task of understanding the contents of an image has used two sequential steps of segmentation and recognition, without interplay between the two. A better, though more complex, approach is to determine object boundaries as...

Aug 19 2015
  Preconditioned Douglas-Rachford algorithms for TV- and TGV-regularized variational imaging problems
Bredies K., Sun H. Journal of Mathematical Imaging and Vision 52(3): 317-344, 2015.  Type: Article

Variational methods aim to provide optimal solutions to convex and nonconvex imaging problems with more precision in a given amount of time. Convex variational methods depend on total variation (TV) minimization, since it provides reas...

Aug 6 2015
  Matrix recipes for hard thresholding methods
Kyrillidis A., Cevher V. Journal of Mathematical Imaging and Vision 48(2): 235-265, 2014.  Type: Article

The authors consider a class of methods for solving the general affine rank minimization (ARM) problem. Mathematically, the problem is described in terms of a multilinear operator A that maps an m ...

Nov 10 2014
  A novel space variant image representation
Onkarappa N., Sappa A. Journal of Mathematical Imaging and Vision 47(1-2): 48-59, 2013.  Type: Article

Suppose you have a sequence of images and you want to infer the “image flow” of the motions depicted in the sequence. These motions might be the result of activity by various objects in the scene or they might be mo...

Nov 27 2013
  Bayesian formulation of image patch matching using cross-correlation
Ardö H., Ågström K. Journal of Mathematical Imaging and Vision 43(1): 72-87, 2020.  Type: Article

Cross-correlation of relatively small image patches between a known background image and a new image is one method of segmenting new objects in a video stream. The technique is fast, intuitive, and general in nature. However, one funda...

Aug 16 2012
  Image restoration with discrete constrained total variation part I: fast and exact optimization
Darbon J., Sigelle M. Journal of Mathematical Imaging and Vision 26(3): 261-276, 2006.  Type: Article

The authors of this paper clearly define their problem: to minimize the functional ∫&OHgr;f(u, v)dx+&bgr; ∫&OHgr;
Mar 6 2008
  On semismooth Newton’s methods for total variation minimization
Ng M., Qi L., Yang Y., Huang Y. Journal of Mathematical Imaging and Vision 27(3): 265-276, 2007.  Type: Article

Ng et al. present a generalization of a theorem proven by A. Chambolle [1], where an L2 regularization of the total variation norm (minu TV(u) + 1/2&lgr...

Jan 2 2008
  Color image segmentation for objects of interest with modified geodesic active contour method
Pi L., Fan J., Shen C. Journal of Mathematical Imaging and Vision 27(1): 51-57, 2007.  Type: Article

The paper describes a problem of semiautomatically delineating an object of interest (OOI) from a color image, an open problem in image processing that has increased in importance as the number of color images and videos on hard drives...

Sep 7 2007
 
 
 
Display per column
 
Send Your Comments
Contact Us
Reproduction in whole or in part without permission is prohibited.   Copyright 1999-2024 ThinkLoud®
Terms of Use
| Privacy Policy