Retaining Local Image Information in Gamut Mapping Algorithms

2007 ◽  
Vol 16 (3) ◽  
pp. 664-672 ◽  
Author(s):  
Peter Zolliker ◽  
Klaus Simon
Keyword(s):  
Mapping Algorithms ◽  
Image Information ◽  
Gamut Mapping ◽  
Local Image

scholarly journals Active contour model for satellitale image combining local and global region based approach

2019 ◽  
Vol 15 (1) ◽  
pp. 247
Author(s):  
Mouri Hayat ◽  
Fizazi Hadria
Keyword(s):  
Active Contour ◽  
Active Contour Model ◽  
Initial Contour ◽  
Multiple Objects ◽  
Image Information ◽  
Contour Model ◽  
Global Image Information ◽  
Segmentation Of Images ◽  
Global And Local ◽  
Local Image

<p>Global and local image information is crucial for accurate segmentation of images with intensity inhomogeneity valuable minute details and multiple objects with various intensities. We propose a region-based active contour model which is able to utilize together local and global image information. The major contribution of this paper is to expand the LIF model which is includes only local image infofmation to a local and global model. The introduction of a new local and global signed pressure force function enables the extraction of accurate local and global image information and extracts multiple objects with several intensities. Several tests performed on some synthetic and real images indicate that our model is effective as well as less sensitivity to the initial contour location and less time compared with the related works. </p><p><em> </em></p>

A Framework Design of Spatial Gamut Mapping

2012 ◽  
Vol 468-471 ◽  
pp. 628-632
Author(s):  
Xiao Zhou Li
Keyword(s):  
Bilateral Filter ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Digital Printing ◽  
Mapping Technique ◽  
Mapping Algorithms ◽  
Gamut Mapping ◽  
Framework Design ◽  
Image Characteristics ◽  
Mapping Theory

The common filters used in spatial gamut mapping algorithms were studied in this paper which included Gaussian filter and bilateral filter based on spatial gamut mapping theory. And one framework of spatial gamut mapping oriented to digital printing was designed which combined the printing image characteristics and reproduction requirements. The framework combined printing image processing technique and gamut mapping technique and the results help to choose or develop better spatial gamut mapping algorithms oriented to digital printing.

3-D Gradient and Curvature Measurement Using Local Image Information

1990 ◽  
Author(s):  
Harry S. Gallarda ◽  
Leonard H. Bieman ◽  
Kevin G. Harding
Keyword(s):  
Image Information ◽  
Curvature Measurement ◽  
Local Image

Image-Individualized Gamut Mapping Algorithms

2010 ◽  
Vol 54 (3) ◽  
pp. 030201 ◽  
Author(s):  
Zofia Barańczuk ◽  
Peter Zolliker ◽  
Joachim Giesen
Keyword(s):  
Mapping Algorithms ◽  
Gamut Mapping

A Variation Level Set Formulation Local Based C-V Model for Medical Images Segmentation

2013 ◽  
Vol 756-759 ◽  
pp. 3696-3701
Author(s):  
Yan Yu ◽  
Chao Bing Huang ◽  
Ling Li
Keyword(s):  
Active Contour ◽  
Medical Images ◽  
Local Information ◽  
Image Information ◽  
Piecewise Constant ◽  
Contour Models ◽  
Segmentation Of Images ◽  
Level Set Formulation ◽  
Local Fitting ◽  
Local Image

Local image information is crucial for accurate segmentation of images with intensity inhomogeneity which usually occurs in medical images. However, image information in local region is not incorporated in popular region-based active contour models, such as piecewise constant models and piecewise smooth models. In this paper, a method which is able to use local information is proposed. The main point is the introduction of the local fitting information expressed by a kernel function which is crucial for segmentation. Our method is based on piecewise constant Chan-Vese model, and compare with different methods for several synthetic images and medical images.

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