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16.07.2015 17:31

A VSU scholar's program ensures a high resolution of photo and video images

A project called "Mathware and software for implementing new image super-resolution technologies", done by a third-year postgraduate student of the Department of Information Procession and Protection Technologies of the Faculty of Computer Sciences of Voronezh State University Alexander Ivankov and supervised by Alexander Sirota, deals with processing photo and video images. This topic is currently of particular interest due to the popularity of such images in our everyday life.

– I started studying the task of increasing the quality of photographs and videos when I was in my third year at university. Due to various limitations, the images do not always provide the required level of detail quality. The idea is essentially simple – to combine a number of similar images to obtain a higher definition of the final product, increasing the detail quality and reducing the noise and flaws. Online, there are some programs which are intended to resolve these issues, but there are very few of them and they are mostly aimed at photo correction, rather that videos. In addition, they lack a user-friendly interface and cannot boast either a high speed or a reasonable price. I wanted to create an easy-to-use program which would be able to work fast and solve any problems related to both static and dynamic images. At the moment, we have already developed the algorithm of the program, and finished working on the part that is responsible for photo image processing. This presents an opportunity to resolve certain disputes arising with road accidents under low visibility conditions. If the camera or the dashcam are unable to indicate the details of the violator's plate number, after using my algorithm on the video the plate becomes distinct, says the young scholar.

The project may be relevant for both the general public and government institutions. It will assist in improving the quality of images recorded by surveillance cameras, detect people's faces, any special features, and details of different situations more distinctly, and may be useful for the registration of road vehicle accidents occurring in conditions of low visibility.

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