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• W2896440741 abstract "In1 general, there are some features in the near-infrared superficial vein images such as high noise and low contrast. The edges of veins in the image are blurred. And the vascular lines are not obvious. It has high algorithm complexity and low processing efficiency in the CLAHE (Contrast Limited Adaptive Histogram Equalization) based on bilinear interpolation. In order to solve these problems, this paper proposed an CLAHE algorithm based on optimized binliner interpolation, which adds the parameter T to the interpolation function. T speeds up the interpolation speed so that the entire algorithm runs faster. Experiments show that the running speed of the algorithm is better than that of the CLAHE algorithm based on bilinear interpolation. Simultaneously, the enhancement effect of the algorithm on the image is the same as that of the CLAHE algorithm based on bilinear interpolation." @default.
• W2896440741 created "2018-10-26" @default.
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• W2896440741 date "2018-10-22" @default.
• W2896440741 modified "2023-10-18" @default.
• W2896440741 title "Application of the CLAHE Algorithm Based on Optimized Bilinear Interpolation in Near Infrared Vein Image Enhancement" @default.
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• W2896440741 doi "https://doi.org/10.1145/3207677.3277957" @default.
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