Ido Zachevsky
Note: This page is no longer updated
I am a PhD candidate at the department of Electrical Engineering in the Technion - Israel Institute of Technology, under the supervision of Prof. Yehoshua Y. Zeevi.
I have been an Ollendorff fellow.
Contact Info
Meyer Building, office 811-4.
Phone: 972.4.8293257
E-mail: ido /at/ tx.technion.ac.il
Research
My research is about models of stochastic textures and their applications in image processing.
My Google Scholar profile.
Manifold representation
Click here to go to the NST manifold representation project.
Blind deblurring
Click here to go to the blind NST deblurring project.
Publications
Journal papers
- Ido Zachevsky and Yehoshua Y. Zeevi, Statistics of Natural Stochastic Textures and Their Application in Image Denoising, IEEE Transactions on Image Processing, Vol. 25, no. 5, pp. 2130-2145, May 2016. Examples. A database of gray-scale images, based on VisTex, Brodatz and McGill.
- Ido Zachevsky and Yehoshua Y. Zeevi, Single-image superresolution of self-similar textures based on fractional Brownian motion, IEEE Transactions on Image Processing, Vol. 23, no. 5, pp. 2096-2108, May 2014. Examples.
Conference proceedings
- Ido Zachevsky and Yehoshua Y. Zeevi, Exploiting Spatial Phase in Deconvolution of Structured Stochastic Textures, IEEE International Conference on the Science of Electrical Engineering (ICSEE), 2016.
- Guy Tennenholtz and Ido Zachevsky, Natural Contrast Enhancement for Dichromats using Similarity Maps, IEEE International Conference on the Science of Electrical Engineering (ICSEE), 2016.
- Ido Zachevsky and Yehoshua Y. Zeevi, Local and Global Fractal Behaviour in Mammographic Images, MEDICON (XIV), Vol. 2, pp. 228-233, 2016.
- Ido Zachevsky and Yehoshua Y. Zeevi, Model-based Color Natural Stochastic Textures Processing and Classification, IEEE GlobalSIP, pp. 1357-1361, Dec. 2015. Examples and classification database.
- Ido Zachevsky and Yehoshua Y. Zeevi, Denoising of Natural Stochastic Colored-Textures based on fractional Brownian motion model, IEEE International Conference on Image Processing, pp. 1065-1069, Sep. 2015. Examples.
- Ido Zachevsky and Yehoshua Y. Zeevi, Statistics of Stochastic Textures: Application in Pattern Analysis and Image Processing, IEEE 28th convention in Israel, 2014. Best Student Paper Award.
- Ido Zachevsky and Yehoshua Y. Zeevi, Combining Long-range dependencies with phase information in Natural Stochastic Texture enhancement, IEEE International Conference on Image Processing, pp. 4487-4491, Oct. 2014. Examples.
- Ido Zachevsky and Yehoshua Y. Zeevi, On the statistics of natural stochastic textures and their applications in image processing, IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 5829-5833, May 2014. Examples.
- Ido Zachevsky and Yehoshua Y. Zeevi, Single-image superresolution of self-similar textures, IEEE International Conference on Image Processing, pp. 952-956, Sep. 2013. Examples.
- Basescu, C., Cachin, C., Eyal, I., Haas, R., Sorniotti, A., Vukolic, M., & Zachevsky, I. (2012, June). Robust data sharing with key-value stores. 42nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2012.
Technical Reports
- Ido Zachevsky and Yehoshua Y. Zeevi, On the phase of natural stochastic structured textures and its application in deconvolution and image decomposition, CCIT Report #898. EE Pub, Technion, Israel Institute of Technology, vol. 1855, 2016. PDF.
- Ido Zachevsky and Yehoshua Y. Zeevi, Statistics of Natural Stochastic Textures, CCIT Report #862. EE Pub, Technion, Israel Institute of Technology, vol. 1819, 2014. PDF.
- Ido Zachevsky and Yehoshua Y. Zeevi, Superresolution of self-similar textures, CCIT Report #838. EE Pub, Technion, Israel Institute of Technology, vol. 1795, 2013. PDF.
Teaching
Additional information
Modified Hannover beamer theme - download, with left-aligned titles and bounded beamer blocks.