Application of the Non-reference Metrics for the Quality Estimation of the Current Images of the Multi-object Stationary Ground Scenes. Part 1
https://doi.org/10.17587/mau.18.550-557
Abstract
In the modern world there are strict requirements to the unmanned aerial vehicles (UAV) in terms of the range of their taslis and the operating conditions. In order to solve this Mnd of taslis, it is necessary to produce technical resources for obtaining and processing of the information about the environment. One of these technical means for obtaining and processing of information about the environment is the machine vision system (MVS). The input information in the MVS is a current halftone image (CI) of the stationary ground multi-object scenes produced in an air flight. Quality estimation is one of the first operations done with this image. This operation allows one to tal
Keywords
обработка изображений,
оценка качества изображений,
безэталонные метрики,
многообъектные стационарные сцены,
влияние погодных и временных условий,
состава сцены,
корреляционные взаимосвязи,
image processing,
image quality estimation,
non-reference metrics,
multi-object stationary scenes,
time of day effects,
weather effects,
scene composition effects,
correlation relationshi ps
About the Authors
W. V. Insarov
State Research Institute of Aviation Systems
Russian Federation
Russian Federation
V. A. Safonov
State Research Institute of Aviation Systems
Russian Federation
Russian Federation
S. V. Tikhonova
State Research Institute of Aviation Systems
Russian Federation
Russian Federation
References
1. Avcibas I. Image Quality Statistics and their use in steganalysis and compression. Ph. D. Thesis. Bogazichi Univ., 2001.
2. Piella G., Heijmans H. A new quality metric for image fusion // IEEE Conference on Image Processing. 2003. Vol. 3. P. 173-176.
3. Инсаров В. В., Тихонова С. В., Михайлов И. И. Проблемы построения систем технического зрения, использующих комплексирование информационных каналов различных спектральных д иапазонов // Приложение к журналу " Информационные технологии". 2014. № 3.
4. Said Pertuz, Domenec Puig, Miguel Angel Garcia. Analysis of focus measure operators for shape-from-focus // Pattern Recognition. 2013. Vol. 46, Iss. 5. P. 1415-1432.
5. Sun Y., Duthaler S., Nelson B. J. Autofocusing algorithm selection in computer microscopy // IEEE/RSJ International Conference on Intelligent Robots and Systems. 2005. P. 419-425.
6. Fulton J. R., Fraser C. S. Automated Reconstruction of Buildings Using a Hand Held Video Camera // Innovations in Remote Sensing and Photogrammetry. 2009. P. 393-404.
7. Kanjar De, Masilamani V., Image Sharpness Measure for Blurred Images // Frequency Domain International Conference on Design and Manufacturing (IConDM2013). 2013. Vol. 64. P. 149-158.
Review
For citations:
Insarov W.V., Safonov V.A., Tikhonova S.V. Application of the Non-reference Metrics for the Quality Estimation of the Current Images of the Multi-object Stationary Ground Scenes. Part 1. Mekhatronika, Avtomatizatsiya, Upravlenie. 2017;18(8):550-557. (In Russ.) https://doi.org/10.17587/mau.18.550-557
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