![Scientific and technical journal «Priborostroenie»](/images/mag-pr.png)
METHODS FOR IMPROVING IMAGE QUALITY FOR VIDEO SURVEILLANCE SYSTEM OPERATION IN CONDITIONS OF INSUFFICIENT ILLUMINATION
![Scientific and technical journal «Priborostroenie»](/images/mag-pr.png)
Annotation
Preparing low quality video images for payload extraction is considered as a challenging task in the field of imaging and computer graphics. The most frequently used methods of image quality improvement are reviewed, such as full or partial exposure change, as well as algorithms for spatial and frequency filtering. The selected algorithms and methods are analyzed with the account for peculiarities of neural network operation with a finite video sequence. Based on the study, the main parameters and criteria of video images were identified to ensure the correct operation of the neural network.
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