Automatic Determination of the Gaussian Noise Level on Digital Images by High-Pass Filtering for Regions of Interest
| Autor: | S. V. Balovsyak, Kh. S. Odaiska |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
021103 operations research
General Computer Science business.industry Computer science Gaussian 0211 other engineering and technologies Pattern recognition 02 engineering and technology Convolution Digital image symbols.namesake Additive white Gaussian noise Region of interest Gaussian noise Digital image processing 0202 electrical engineering electronic engineering information engineering symbols 020201 artificial intelligence & image processing Artificial intelligence High-pass filter business |
| Zdroj: | Cybernetics and Systems Analysis. 54:662-670 |
| ISSN: | 1573-8337 1060-0396 |
| DOI: | 10.1007/s10559-018-0067-3 |
| Popis: | A mathematical model, algorithm, and software are developed for automatic determination of the level of Gaussian nose on digital images by the method of high-pass filtering. The noise level is calculated for regions of interest of the image, selected by low-pass filtering. The optimal parameters of low-pass and high-pass filters are obtained. Processing a series of test images showed that the proposed method provides the less error of noise level determination than other analog methods do. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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