Restoration of Static JPEG Images and RGB Video Frames by Means of Nonlinear Filtering in Conditions of Gaussian and Non-Gaussian Noise
| Autor: | Sokolov, R. I., Abdullin, R. R. |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
IMAGE PROCESSING
IMAGE RESTORATION INFORMATION FILTERING GAUSSIAN DISTRIBUTION SIGNAL FILTERING NONLINEAR MARKOV FILTERING NON-GAUSSIAN NOISE SIGNAL TO NOISE RATIO GAUSSIAN NOISE (ELECTRONIC) COMPARATIVE ANALYSIS MEDIAN FILTERS FILTER OPERATIONS SPECIAL ALGORITHMS SIGNAL PROCESSING IMAGE RECONSTRUCTION PRIORI INFORMATION PROCESS FILTERING MARKOV PROCESSES NONLINEAR FILTERING IMAGE FILTERING RESTORATION |
| Zdroj: | Radio Sci Radio Science |
| DOI: | 10.1002/2017RS006392 |
| Popis: | 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. ©2017. American Geophysical Union. All Rights Reserved. |
| Databáze: | OpenAIRE |
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