I.V. Zhigulina
И.В. Жигулина
2026
2025
2024
2023
2022
2021
2020
2019
- Blurred image is processed by the detectors field pp. 216-222
- System functions of detectors fields pp. 14-18
- Detectors fields in saccade mode pp. 15-20
2018
- Objects borders identification of based on the model of drift of the detectors field pp. 23-27
- Detectors field drift model pp. 18-22
- A vector field of the phase-power spectrum of an image and a video sequence pp. 13-17
- Video sequences analysis for periodic or quasi-periodic motion detection pp. 7-12
- 2D-dimensional discrete filtering of output signals of detectors fields pp. 137-145
- Detectors fields pp. 129-136
2017
2016
- Selection the filter-s aperture to high spatial frequencies filtering matched with an input image-s properties pp. 128-133
- Method of repeated increase in resolution of video systems pp. 123-127
- Model of nonlinear blurring image pp. 116-122
- Receptive fields: images and video sequences processing pp. 104-109
- Features models of frequency characteristics interframe differences pp. 5-12
2015
- Features models of frequency characteristics interframe differences pp. 95-102
- Linear blur pp. 147-154
- ON-OFF» processing of video sequences pp. 116-121
- Models of frequency characteristics interframe differences pp. 41-47
- Methods of processing video sequences based on the analysing the energy parameters of the video images pp. 112-119
2013
2012
2011
2010
- (u, v)- Type Filters For Image Processing pp. 61-64
- Identification of Object Movement on the Basic of Interframe Differences of Frequency Features pp. 55-60
- The System for Execution of Parallel Computing Processes pp. 55-59
- Determination of Objects Movement Parameters by the Image Based on the Interframe Differences of Frequency Response pp. 51-54