Description: % demo_l2_l1 - This demo illustrates the TwIST % algorithm in the l2-l1 optimization problem % % xe = arg min 0.5*||A x-y||^2 + tau ||x||_1 % x % % where A is a generic matrix and ||.||_1 is the l1 norm. % After obtaining the solution we implement a debias phase % % For further details about the TwIST algorithm, see the paper: % % J. Bioucas-Dias and M. Figueiredo, "A New TwIST: Two-Step % Iterative Shrinkage/Thresholding Algorithms for Image % Restoration", IEEE Transactions on Image processing, 2007. % %% % Please check for the latest version of the code and papers at % www.lx.it.pt/~bioucas/TwIST % % Authors: Jose Bioucas-Dias and Mario Figueiredo, % Instituto Superior T閏nico, October, 2007 Platform: |
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Author:li123kai@126.com |
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Description: 这是一篇关于影像处理的论文曾经在ieee上发表过，希望对大家有帮助。-This is an article on image processing of papers published in ieee wish all of you help. Platform: |
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Author:flyinginkr |
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Description: Source Codes for Multiple Description Lapped Transform with Prediction Compensation (MDLT-PC)
This page describes the source codes for the multiple description lapped transform with prediction compensation (MDLT-PC) developed in the following papers:
G. Sun, U. Samarawickrama, J. Liang, C. Tian, C. Tu and T. D. Tran, "Multiple description image coding with prediction compensation,?submitted to IEEE Trans. Signal Processing, Feb. 2007.
G. Sun, U. Samarawickrama, J. Liang, C. Tu, and T. D. Tran, "Multiple description image coding with prediction compensation," Proc. 2007 IEEE Int. Conf. on Image Processing, Vol. VI, pp. 513-516, San Antonio, TX, Sept. 2007.
http://www.ensc.sfu.ca/~jiel/ Platform: |
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Author:gygymon |
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Description: is Matlab code implements a new level set formulation, called distance regularized level set evolution (DRLSE), proposed by Chunming Li et al s in the paper "Distance Regularized Level Set Evolution and its Application to Image Segmentation", IEEE Trans. Image Processing, vol. 19 (12), 2010
The main advantages of DRLSE over conventional level set formulations include the following: 1) it completely eliminates the need for dreinitialization 2) it allows the use of large time steps to significantly speed up curve evolution, while ensuring numerical accuracy 3) Very easy to implement and computationally more efficient than conventional level set formulations.
This package only implements an edge-based active contour model as one application of DRLSE. More applications of DRLSE can be found in other published papers in the following website:
http://www.imagecomputing.org/~cmli/
-is Matlab code implements a new level set formulation, called distance regularized level set evolution (DRLSE), proposed by Chunming Li et al s in the paper "Distance Regularized Level Set Evolution and its Application to Image Segmentation", IEEE Trans. Image Processing, vol. 19 (12), 2010
The main advantages of DRLSE over conventional level set formulations include the following: 1) it completely eliminates the need for dreinitialization 2) it allows the use of large time steps to significantly speed up curve evolution, while ensuring numerical accuracy 3) Very easy to implement and computationally more efficient than conventional level set formulations.
This package only implements an edge-based active contour model as one application of DRLSE. More applications of DRLSE can be found in other published papers in the following website:
http://www.imagecomputing.org/~cmli/
Platform: |
Size: 1908736 |
Author:王捷 |
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Description: 这个对运动估计的一个综述性论文，IEEE论文，很权威，对于把握图像处理研究。很值得-In the motion estimation, a review paper, IEEE papers, very authoritative, for the capture image processing research. It is worth a look Platform: |
Size: 233472 |
Author:lu |
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Description: 这是国外近几年有关图像增强方面的IEEE论文，值得参考和借鉴。-These are papers about image enhancement recently published on IEEE tracsactions, worthy to be referenced for readers developing image processing Platform: |
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Author:lili |
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Search - ieee papers for image