Abstract
Modern DWT filtering methods and algorithms for removing the high-level Gaussian noise from images are considered. It is stated that Gaussian noise can occur during aerial photography of terrain under polluted air conditions. A single, universal threshold to all wavelet detail coefficients (VisuShrink approach) and an adaptive wavelet threshold (BayesShrink approach) are considered. The algorithm for thresholding a tuple of wavelet coefficients derived for an image is developed.
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Translated from Kibernetyka ta Systemnyi Analiz, No. 5, September–October, 2022, pp. 172–178.
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Onufriienko, D., Taranenko, Y. Nonthreshold Method of the Discrete Wavelet Filtering of Images. Cybern Syst Anal 58, 825–831 (2022). https://doi.org/10.1007/s10559-022-00515-5
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DOI: https://doi.org/10.1007/s10559-022-00515-5