UTILIZING MACHINE LEARNING TECHNIQUES TO ENHANCE THE IMAGE QUALITY OBTAINED FROM RAILWAY TRANSPORT CCTV CAMERAS

Abstract

The article has developed a methodology for changing the resolution (RS) of images obtained from CCTV cameras on railway transport. The research was carried out on the basis of the application of machine learning methods (MLM). Due to the implementation of this approach, it was possible to expand the functionality of the MLM. In particular, it was proposed to carry out the resampling process with the target frame information factor of the image. This coefficient is applicable for both increasing and decreasing of RS. This should provide a high quality of resampling and, at the same time, reduce the training time for neural-like structures (NLS). The proposed solutions are characterized by a reduction in the size of the computing resources that are required for such a procedure.