Home arrow Products arrow Digital image processing
Digital image processing Print E-mail

Permanent toughening of requirements to parameters and functions of video data processing and displaying (VDD) systems invokes designing and implementation of new sophisticated algorithms of video data processing.

Fluctuation noise
Fig. 1

The complex combination of theoretical research, computer aided modeling and application of specialized software/hardware forms the basis of advanced systematic approach to development of algorithms and their implementation in VDD hardware.

Aperture distortions of transmitting camera and defocusing
Fig.2

We develop systematic approach to designing of video processors for various functional systems based on the methods of computer modeling.

Swift movements of transmitting camera
Fig. 3
Dynamic range compression with simultaneous increase of micro contrast and improvement of detail distinguishing in 'lights' and 'shadows'
Fig. 4

Long research in the field of image and signal processing algorithms brought us to conclusion that effective processing is possible only at extensive application of principles of system parameters adaptation to spatial and temporal parameters of transmitted image and to contrast thresholds of human visual system. Adaptive approach involves multiple description of multidimensional space image signals and interference, and, secondly, formalized description of the human vision model.

According to definite rules, the image is 'broken' into subclasses. Then the processing channel parameters reconstruct in real time (adapt to every subclass of image elements after its current analysis), allowing maximal matching of processing channel parameters with vision properties. Moreover, the maximal effectiveness of adaptive processing is achieved by using methods of multidimensional (spatial-temporal) linear and non-linear digital filtration.

Dynamic range compression with simultaneous increase of micro contrast and improvement of detail distinguishing in 'lights' and 'shadows'
Fig. 5
Two-dimensional AFC of digital filters for spatial frequencies
Fig. 6

Examples of using the developed adaptive algorithms for digital processing of images, severely distorted by the presence of fluctuation noise in the video signal (Fig.1), aperture distortions of transmitting camera and defocusing (Fig.2), swift movements of transmitting camera (Fig.3), are shown in the photographs. Examples of image dynamic range compression with simultaneous increase of micro contrast and improvement of detail distinguishing in 'lights' and 'shadows' are shown in Fig.4 and Fig.5. As an illustration, the two-dimensional amplitude-frequency characteristics (AFC) of digital filters for spatial frequencies, developed for use in adaptive sharpness correctors, are shown in Fig.6.

Implementation of developed approaches in the hardware results in significant improvement of the resolution, recognition, accuracy of coordinate definition and other parameters of image quality, displayed by airborne and stationary data display systems.

 
«««
Copyright © 2007-2017 JSC 'Phazotron-7'. All rights reserved.
Powered by Joomla Content Management System.