每年出版 12 期
ISSN 打印: 0040-2508
ISSN 在线: 1943-6009
Indexed in
AN APPROACH TO PREDICTION OF SIGNAL-DEPENDENT NOISE REMOVAL EFFICIENCY BY DCT-BASED FILTER
摘要
An approach to prediction of denoising efficiency for DCT-based filter applied to images corrupted by signal-dependent noise is presented. This approach allows estimating quantitative criteria of filtering efficiency from one statistical parameter that can be quickly calculated for a given noisy image under condition that parameters of signal-dependent noise are a priori known or pre-estimated with appropriate accuracy. We demonstrate in this paper that the prediction approach is applicable to different types of signal-dependent noise. Besides, we show that the statistical parameter used for prediction can be calculated in different ways and this influences prediction accuracy.
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Rubel Oleksii S., Lukin Vladimir V., De Medeiros Fatima S., Prediction of Despeckling Efficiency of DCT-Based Filters Applied to SAR Images, 2015 International Conference on Distributed Computing in Sensor Systems, 2015. Crossref
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Lukin V., Rubel O., Abramov S., Zemliachenko A., Performance prediction in radar image filtering and lossy compression. Part I: Filtering, 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON), 2017. Crossref