Autors: Petkova, L., Draganov, I. R.
Title: Noise Adaptive Wiener Filtering of Images
Keywords: Adaptive filtration, Gaussian noise, Image denoising, Wiener filter

References

    Issue

    2020 55th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST), pp. 177-180, 2020, Serbia, IEEE, DOI 10.1109/ICEST49890.2020.9232887

    Copyright IEEE

    Цитирания (Citation/s):
    1. Xu, B., Liu, J., Liang, J., Lu, W., Zhang, Y., DeepFake Videos Detection Based on Texture Features, Computers, Materials & Continua, vol. 68, no.1, pp. 1375–1388, 2021 - 2021 - в издания, индексирани в Scopus или Web of Science
    2. Walid, W., Armanno, G., Di Paola, S., Ruo Roch, M., Masera, G., Martina, M., Vlsi Architectures of a Wiener Filter for Video Coding, Electronics, Vol. 10, Issue 16, Art. No. 1961, 2021 - 2021 - в издания, индексирани в Scopus или Web of Science
    3. Liu, C., Yang, X., Lu, R., Gao, F., Infrared Time-Sensitive Weak and Small Target Detection Method based on Density Search and Gradient Decision, Journal of Physics: Conference Series, Vol. 2005, Issue 1, Art. No. 012200, 2021 - 2021 - в издания, индексирани в Scopus или Web of Science
    4. He, W., Huang, X.-L., Research on Denoising Method in Pseudo-analog Video Transmission, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST 427 LNICST, pp. 231-239, 2022 - 2022 - в издания, индексирани в Scopus или Web of Science
    5. Huang, H., Liu, Y., Li, Y., Fluorescence Image Denoising Based on Self-supervised Deep Learning, 2022 7th International Conference on Intelligent Computing and Signal Processing, ICSP 2022 pp. 86-90, 2022 - 2022 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus