Restoration of Static JPEG Images and RGB Video Frames by Means of Nonlinear Filtering in Conditions of Gaussian and Non‐Gaussian Noise

Abstract

The use of nonlinear Markov process filtering makes it possible to restore both video stream frames and static photos at the stage of preprocessing. The present paper reflects the results of research in comparison of these types image filtering quality by means of special algorithm when Gaussian or non‐Gaussian noises acting. Examples of filter operation at different values of signal‐to‐noise ratio are presented. A comparative analysis has been performed, and the best filtered kind of noise has been defined. It has been shown the quality of developed algorithm is much better than quality of adaptive one for RGB signal filtering at the same a priori information about the signal. Also, an advantage over median filter takes a place when both fluctuation and pulse noise filtering.

An UAV Wireless Communication Noise Suppression Method Based on OFDM Modulation and Demodulation

“…(Yu et al, ) The results of research in comparison of some types image filtering quality by utilizing special algorithm when Gaussian or non‐Gaussian noises acting has been analyzed, and it has been shown that the quality of developed algorithm is much better than quality of adaptive one for RGB signal filtering at the same a priori information about the signal. (Sokolov & Abdullin, ) A channel estimation method based on Kalman filter with STBC codes for multiple‐input multiple‐output (MIMO) systems has been proposed to remove noise on 4G communication channel. (Padmaja & Malleswari, ) A method based on independent component analysis (ICA) has been presented to deal with contaminated ECG signal.…”