Local Criteria: A Unified Approach to Local Adaptive Linear and Bank Filters for Image Restoration and Enhancement. - Leonid P. Yaroslavsky (ICIP (2), 1994)

Redundancy of signals and transformations and computational complexity of signal and image processing. - Leonid P. Yaroslavsky; Vitaly Kober (ICPR (3), 1994)

Correlational accumulation as a method for signal restoration. - Leonid P. Yaroslavsky; Murray Eden (Signal Process., 1994)

Convolution-based interpolation for fast, high-quality rotation of images. - Michael Unser; Philippe Thévenaz; Leonid P. Yaroslavsky (IEEE Trans. Image Process., 1995)

Transform oriented technology for quantitative analysis of fetal movements in ultrasound image sequences. - Leonid P. Yaroslavsky; Ben-Zion Shaick (EUSIPCO, 1998)

Time-frequency domain signal filtering: a next step forward. - Leonid P. Yaroslavsky; Karen O. Egiazarian; Jaakko Astola (NSIP, 1999)

Evaluation of potentials for local transform domain filters with varying parameters. - Rusen Öktem; Leonid P. Yaroslavsky; Karen O. Egiazarian (EUSIPCO, 2000)

A hybrid transform method for image denoising. - Ben-Zion Shaick; Leonid Ridel; Leonid P. Yaroslavsky (EUSIPCO, 2000)

Object Localization Using Linear Adaptive Filters. - Ben-Zion Shaick; Leonid P. Yaroslavsky (VMV, 2001)

Fast signal sinc-interpolation methods for signal and image resampling. - Leonid P. Yaroslavsky (Image Processing: Algorithms and Systems, 2002)

A Method for Generating 3D Video from a Single Video Stream. - Ianir A. Ideses; Leonid P. Yaroslavsky (VMV, 2002)

Transform domain approaches for image denoising. - Rusen Öktem; Leonid P. Yaroslavsky; Karen O. Egiazarian; Jaakko Astola (J. Electronic Imaging, 2002)

Restoration of atmospheric turbulent video containing real motion using rank filtering and elastic image registration. - Shai Gepshtein; Alex Shtainman; Barak Fishbain; Leonid P. Yaroslavsky (EUSIPCO, 2004)

FPGA implementations of sorters for non-linear filters. - Boaz Hirschl; Leonid P. Yaroslavsky (EUSIPCO, 2004)

New Methods to Produce High Quality Color Anaglyphs for 3-D Visualization. - Ianir A. Ideses; Leonid P. Yaroslavsky (ICIAR (2), 2004)

3D from arbitrary 2D video. - Ianir A. Ideses; Leonid P. Yaroslavsky (Three-Dimensional Image Capture and Applications, 2006)

Real time stabilization of long range observation system turbulent video. - Barak Fishbain; Leonid P. Yaroslavsky; Ianir A. Ideses; Ofer Ben-Zvi; Alon Shtern (Real-Time Image Processing, 2007)

Real-time stabilization of long range observation system turbulent video. - Barak Fishbain; Leonid P. Yaroslavsky; Ianir A. Ideses (J. Real Time Image Process., 2007)

Real-time 2D to 3D video conversion. - Ianir A. Ideses; Leonid P. Yaroslavsky; Barak Fishbain (J. Real Time Image Process., 2007)

Image Processing for a High-Resolution Optoelectronic Retinal Prosthesis. - Alon Asher; William A. Segal; Stephen A. Baccus; Leonid P. Yaroslavsky; Daniel V. Palanker (IEEE Trans. Biomed. Eng., 2007)

Depth maps: faster, higher and stronger? - Ianir A. Ideses; Leonid P. Yaroslavsky; Barak Fishbain (Three-Dimensional Image Capture and Applications, 2008)

Precise differentiation can significantly improve the accuracy of optical flow measurements. - Leonid P. Yaroslavsky; A. Agranovich; Barak Fishbain; Ianir A. Ideses (Image Processing: Algorithms and Systems, 2008)

Super-resolution of turbulent video: potentials and limitations. - Leonid P. Yaroslavsky; Gil Shabat; Barak Fishbain; Ianir A. Ideses (Image Processing: Algorithms and Systems, 2008)

Real-time turbulent video super-resolution using MPEG-4. - Barak Fishbain; Leonid P. Yaroslavsky; Ianir A. Ideses (Real-Time Image Processing, 2008)

Fast DCT-based algorithms for signal convolution and translation. - Leonid Bilevich; Leonid P. Yaroslavsky (DPS, 2009)

Real-time vision-based traffic flow measurements and incident detection. - Barak Fishbain; Ianir A. Ideses; David Mahalel; Leonid P. Yaroslavsky (Real-Time Image and Video Processing, 2009)

Real-time depth map manipulation for 3D visualization. - Ianir A. Ideses; Barak Fishbain; Leonid P. Yaroslavsky (Real-Time Image and Video Processing, 2009)

Fast algorithms for computing image local statistics in windows of arbitrary shape and weights. - Leonid Bilevich; Leonid P. Yaroslavsky (Real-Time Image and Video Processing, 2010)

Fast DCT-based image convolution algorithms and application to image resampling and hologram reconstruction. - Leonid Bilevich; Leonid P. Yaroslavsky (Real-Time Image and Video Processing, 2010)

A new DCT-based algorithm for numerical reconstruction of electronically recorded holograms. - Leonid Bilevich; Leonid P. Yaroslavsky (Image Processing: Algorithms and Systems, 2011)

How fast can one numerically reconstruct digitally recorded holograms? - Leonid Bilevich; Leonid P. Yaroslavsky (Real-Time Image and Video Processing, 2011)

Blind source separation of images based on general cross correlation of linear operators. - Noam Shamir; Zeev Zalevsky; Leonid P. Yaroslavsky; Bahram Javidi (J. Electronic Imaging, 2011)

Fast DCT-based algorithm for signal and image accurate scaling. - Leonid Bilevich; Leonid P. Yaroslavsky (Image Processing: Algorithms and Systems, 2013)

How fast can one arbitrarily and precisely scale images? - Leonid Bilevich; Leonid P. Yaroslavsky (Real-Time Image and Video Processing, 2013)

New boundary effect free algorithm for fast and accurate image arbitrary scaling and rotation. - Leonid Bilevich; Leonid P. Yaroslavsky (Real-Time Image and Video Processing, 2014)

Compression, Restoration, Re-sampling, Compressive Sensing: Fast Transforms in Digital Imaging. - Leonid P. Yaroslavsky (CoRR, 2014)

Is "Compressed Sensing" compressive? Can it beat the Nyquist Sampling Approach? - Leonid P. Yaroslavsky (CoRR, 2015)

Can compressed sensing beat the Nyquist sampling rate? - Leonid P. Yaroslavsky (CoRR, 2015)

Back to the sampling theory: a practical and less redundant alternative to Compressed sensing. - Leonid P. Yaroslavsky (CoRR, 2016)

Compressed Sensing, ASBSR-method of image sampling and reconstruction and the problem of digital image acquisition with lowest possible sampling rate. - Leonid P. Yaroslavsky (CoRR, 2017)