White Noise Suppression Based on Wiener Filtering Using Neural Network Technologies in the Domain of the Discrete Wavelet Transform

• Published in: Russian microelectronics Vol. 52; no. 7; pp. 722 - 729
• Main Authors: Alimagadov, K. A., Umnyashkin, S. V.
• Format: Journal Article
• Language: English
• Published: Moscow Pleiades Publishing 01.12.2023; Springer Nature B.V
• Subjects: Algorithms; Computer vision; Digital imaging; Discrete Wavelet Transform; Electrical Engineering; Engineering; Image processing; Neural networks; Noise levels; Noise reduction; Signal to noise ratio; Video data; Wavelet transforms; White noise; Wiener filtering; wavelet filtration; white noise; noise suppression; Wiener filter; image denoising; neural networks

— Computer vision algorithms are widely used in solving a number of applied problems. The correct operation of such algorithms depends on the photo and video data that they receive at the input, which are subject to the effect of noise; hence, noise suppression is an important stage in low-level dig...