| Research Material |
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This page has been created as a service to the image processing community to encourage reproducible researchThe term reproducible research (first proposed by J. Claerbout at Stanford Univ.) and refers to the idea that the ultimate product of research is the paper along with the full computational environment used to produce the results in the paper such as the code, data, etc. necessary for reproduction of the results and building upon the research. Note that the code given in this web page is optimized for simplicity, not speed ! (and this has to be mentioned if you report timing results for comparisons). This code should NOT be used for any commercial purposes without direct consent of their author(s) (see copyrights). Please cite the paper if you use this code for your research work
A non-stationary MRF model for image segmentation from a soft boundary map
Pattern Analysis & Aplications (to appear)
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Non-local pairwise Gibbs energy based model for the HDR image
compression problem
Journal of Electronic Imaging, 21(1):013016, anuary-March 2012.
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A bi-criteria optimization approach based dimensionality reduction model for the
color display of hyperspectral images
IEEE Trans. on Geoscience and Remote Sensing,50 (2) : 501-513, Jan. 2012.
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An energy based model for the image edge histogram specification problem
IEEE Trans. on Image Processing, 21(1):379-386, Jan. 2012.
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MDS-based multiresolution non-linear dimensionality reduction model
for color image segmentation
IEEE Trans. on Neural Networks, 22(3): 447-460, March 2011.
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A de-texturing and spatially-constrained K-means approach for image segmentation
Pattern Recognition Letters, 32(2):359-367, Jan. 2011.
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A multiresolution Markovian fusion model for the color visualization of hyperspectral images
IEEE Trans. on Geoscience and Remote Sensing, 48(12):4236-4247, Dec. 2010.
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Fusion of regularization terms for image restoration
Journal of Electronic Imaging, 19(3):333004-,July-Sept. 2010
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A label field fusion Bayesian model and its penalized maximum Rand estimator for image segmentation
IEEE Trans. on Image Processing,19(6):1610-1624, June 2010
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A non-local regularization strategy for image deconvolution
Pattern Recognition Letters, 29(16):2206-2212, Dec. 2008
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Segmentation by fusion of histogram-based K-means clusters in different color spaces
IEEE Trans. on Image Processing,17(5):780-787, May 2008
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DCT-based complexity regularization for EM tomographic reconstruction
IEEE Trans. on Biomedical Engineering, 55(2):801-805, Feb. 2008
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A post-processing deconvolution step for wavelet-based image denoising methods
IEEE Signal Processing Letters, 14(9):621-624, Sept. 2007
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Image denoising by averaging of piecewise constant simulations of image partitions
IEEE Trans. on Image Processing, 16(2):523-533, Feb. 2007
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