Abstract: A denoising approach is proposed that based on the combination of wiener filtering, order-statistic filtering and wavelet, which denoise the LASCA(LAser Speckle Contrast Analysis)image of blood vessels in small animal. The approach first performs laser spectral contrast analysis on cerebral blood flow and brain blood flow in rat, get their spatial and temporal contrast images. Then, a denoising filtering method is proposed to deal with noise in LASCA. The image restoration is achieved by applying the proposed admixture filtering,and the subjective estimation and objective estimation are given to the denoising images.
DOI: *As the DOI is a unique identifier, it is already available in the pdf version. **The DOI link will be activated in the first midst of January 2026.
WSEAS Transactions on Signal Processing, ISSN / E-ISSN: 1790-5052 / 2224-3488, Volume 9, 2013
Cong Wu, Nengyun Feng, Koichi Harada, Pengcheng Li, "Research on LASCA and Denoising of Blood Vessel images of Small Animals," WSEAS Transactions on Signal Processing, vol. 9, pp. -, 2013, DOI:
Cong Wu, Nengyun Feng, Koichi Harada, Pengcheng Li. Research on LASCA and Denoising of Blood Vessel images of Small Animals.
WSEAS Transactions on Signal Processing. 2013;9:-.