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» Modelling perception using image processing algorithms
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ICIP
2005
IEEE
16 years 4 months ago
A palette-based image steganographic method using colour quantisation
In this paper we propose an efficient data embedding algorithm for palette-based images by quantising similar colours in the palette. Unlike previous algorithms, this method'...
Xuefeng Wang, Then Yao, Chang-Tsun Li
155
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SIAMIS
2011
14 years 10 months ago
Locally Parallel Texture Modeling
This article presents a new adaptive framework for locally parallel texture modeling. Oscillating patterns are modeled with functionals that constrain the local Fourier decompositi...
Pierre Maurel, Jean-François Aujol, Gabriel...
GLVLSI
1997
IEEE
110views VLSI» more  GLVLSI 1997»
15 years 7 months ago
Algorithm and Hardware Support for Branch Anticipation
Multi-dimensional systems containing nested loops are widely used to model scientific applications such as image processing, geophysical signal processing and fluid dynamics. Ho...
Ted Zhihong Yu, Edwin Hsing-Mean Sha, Nelson L. Pa...
ICASSP
2011
IEEE
14 years 7 months ago
A new stochastic image model based on Markov random fields and its application to texture modeling
Stochastic image modeling based on conventional Markov random fields is extensively discussed in the literature. A new stochastic image model based on Markov random fields is intr...
Siamak Yousefi, Nasser D. Kehtarnavaz
ICIAP
2003
ACM
16 years 3 months ago
Dense 3D interpretation of image sequences: a variational approach using anisotropic diffusion
The purpose of this study is to investigate a new method for recovering relative depth and 3D motion from a temporal sequence of monocular images. The method is direct insomuch as...
Hicham Sekkati, Amar Mitiche