Euler’s Approximations to Image Reconstruction-Reference-Cited by-同舟云学术

Euler’s Approximations to Image Reconstruction

Published:2012 Issue: Volume: Page:30-37
ISSN:0302-9743
Container-title:Computer Vision and Graphics
language:
Short-container-title:

Author:

Borkowski Dariusz

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-33564-8_4

Reference15 articles.

1. Aubert, G., Barlaud, M., Charbonnier, P., Blanc-Féraud, L.: Two Deterministic Half-Quadratic Regularization Algorithms for Computed Imaging. In: Image Processing, Proceedings ICIP 1994, pp. 168–172 (1994)

2. Aubert, G., Kornprobst, P.: Mathematical problems in image processing. Springer, New York (2002)

3. Borkowski, D.: Modified diffusion to image denoising. Adv. Soft Comp. 45, 92–99 (2007)

4. Lecture Notes in Computer Science;D. Borkowski,2010

5. Chan, T.F., Shen, J.J.: Image Processing and Analysis – Variational, PDE, wavelet, and stochastic methods. SIAM, Philadelphia (2005)

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Implementation of Image Denoising based on Backward Stochastic Differential Equations;Image Processing On Line;2023-12-09

2. Forward and backward filtering based on backward stochastic differential equations;Inverse Problems and Imaging;2016-05

3. Stochastic Approximation to Reconstruction of Vector-Valued Images;Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013;2013

4. Image Restoration Using Anisotropic Stochastic Diffusion Collaborated with Non Local Means;Computer Information Systems and Industrial Management;2013