A study on color vegetation canopy images denoising algorithm

• Autorzy: Wang C. , Liu Y. , Wang P.

Identyfikatory

DOI

10.24425/bpasts.2020.133124

• Języki publikacji: EN

Abstrakty

EN

Due to the characteristics of color vegetation canopy images which have multiple details and Gaussion noise interference, the adaptive mean filtering (AMF) algorithm is used to perform the denoising experiments on noised images in RGB and YUV color space. Based on the single color characteristics of color vegetation canopy images, a simplified AMF algorithm is proposed in this paper to shorten the overall running time of the denoising algorithm by simplifying the adaptive denoising processing of the component V, which contains less image details. Experimental results show that this method can effectively reduce the running time of the algorithm while maintaining a good denoising effect.

Słowa kluczowe

EN

image denoising; color vegetation canopy images; adaptive mean filtering; color space

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2020
• Tom: Vol. 68, nr 3
• Strony: 609--626
• Opis fizyczny: Bibliogr. 30 poz., rys., tab.

Twórcy

autor

Wang C.

• College of Information and Computer Engineering, Northeast Forestry University, Harbin 150001, China

autor

Liu Y.

• College of Information and Computer Engineering, Northeast Forestry University, Harbin 150001, China

autor

Wang P.

• College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150001, China

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Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).