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A Hybrid De-Noising Method on LASCA Images of Blood Vessels
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作者 Cong Wu nengyun feng +1 位作者 Koichi Harada Pengcheng Li 《Journal of Signal and Information Processing》 2012年第1期92-97,共6页
A de-noising approach is proposed that based on the combination of wiener filtering, nonlinear filtering and wavelet fusion, which de-noise the LASCA (LAser Speckle Contrast Analysis) image of blood vessels in Small A... A de-noising approach is proposed that based on the combination of wiener filtering, nonlinear filtering and wavelet fusion, which de-noise the LASCA (LAser Speckle Contrast Analysis) image of blood vessels in Small Animals. The approach first performs laser spectral contrast analysis on brain blood flow in rats, get their spatial and temporal contrast images. Then, a de-noising 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 de-noising images. As our experimental results shown, the proposed method provides clearer subjective sense and improved to over 25 db for PSNR. 展开更多
关键词 Brain BLOOD Flow WAVELET Fusion HYBRID FILTERING Laser SPECKLE CONTRAST Imaging
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