image processing

A nonlinear fractional partial differential equation for image inpainting

Image inpainting is an important research area in image processing.  Its main purpose is to supplement missing or damaged domains of images using information from surrounding areas.  This step can be performed by using nonlinear diffusive filters requiring a resolution of partial differential evolution equations.  In this paper, we propose a filter defined by a partial differential nonlinear evolution equation with spatial fractional derivatives.  Due to this, we were able to improve the performance obtained by known inpainting models based on partial differential equations and extend certa

Methods to Increase the Contrast of the Image with Preserving the Visual Quality

Contrast enhancement is a technique for increasing the contrast of an image to obtain better image quality. As many existing contrast enhancement algorithms typically add too much contrast to an image, maintaining visual quality should be considered as a part of enhancing image contrast.

Sensors in Cyber-physical Systems Based on Android Operating System

The cyber-physical systems take the major part of any system that help users to interact with environment processes.

Cyber-physical systems are intelligent systems, which include networks of physical and computing components that interact on internal level. The basis for the development of various models of cyber-physical systems are the using of measuring instruments and their software. Measuring instruments are necessary to control technological parameters processes and the environment.

Image restoration and contrast enhancement based on a nonlinear reaction-diffusion mathematical model and divide & conquer technique

In this article, we present a new algorithm for digital image processing noised by mixed Gaussian-impulse noise.  Our mathematical model is based on the divide-conquer technique coupled with a reaction-diffusion system.  We first decompose our image into low and high-frequency components by convolving each with a predefined convolutional filter.  Further, we use a simple scheme of different weights to integrate and collect these processed sub-images into a filtered image.  Finally, we apply our Reaction-Diffusion system to increase the contrast in the image.  A number of experimental result

Automation of the measurement procedure in the mechanical north-seeking gyroscop

The aim of the work is to develop an automated measuring system in a mechanical gyrocompass with the help of specially developed hardware and software in order to facilitate the operation of the device and minimize observer errors. The developed complex provides automation only for the time method, as for the method of the turning point it is necessary to constantly contact the motion screw of the total station. The project is based on an integrated system, the hardware part of which contains a single-board computer, camera, and lens.

Segmentation of partially-blurred images using wavelet transform

In the research a method for segmentation of partially-blurred images using the wavelet transformation, particularly coiflet of the order L=3 is presented. The entropy is used as a segmentation criterion based on wallet transformation. K-means method is used for image segmentation. Developed method was tested and has shown good results of his work; it correctly performs more than 82 % of pixels of image, and in many individual cases, more than 90 %.

Spectral-based approach to subpixel image formation

Current approach to the increase of the resolution is based on receiving images from several image sensor arrays shifted by subpixel distance [1, 2]. The analysis of the image forming process has shown that a pixel aperture works as a low-pass spatial filter and decreases spatial resolution even if several image sensors shifted by subpixel distance are used. The proposed by the authors approach uses both shifted image sensor arrays and data processing based on inverse filtering.

Factors affecting the quality of formation and resolution of images in remote sensing systems

The article deals with the factors affecting the quality of formation and resolution of an image in a high-resolution scanner (HRS). It is shown that the stabilization parameters of a spacecraft (SC), on which a HRS with a charge-coupled device operating in time delay integration mode (TDI-CCD) is installed, signifi­cantly affect an image distortion, namely its blurring, and this blurring increases when the number of inte­gration lines goes up in the TDI sensor.

Subpixel image processing in monitoring systems of visible wavelengths

This paper is devoted to considering of ways to improve the resolution, principles and methods of subpixel imaging technology, assessment of the development status and the latest research developments. Modern approaches to improving the spatial resolution as the main parameter of satellite images are based on algorithmic search and design solutions as the technology of manufacturing image sensors exhaust its potential for improvement. One of the major tasks of remote monitoring is to improve the quality of images, which is determined by parameters such as resolution.

Improving the Resolution of Multispectral Images by Subpixel Processing Method

The methods, their advantages and disadvantages, of fusion a low-resolution multispectral and panchromatic high-resolution image in high-resolution color image are considered. Is proposed a method to provide high-resolution, which is based on the use of sub-pixel processing, the essence of which is the handling of input data in the form of a CCD sensor arrays shifted by a half pixel with respect to each other.