Application of the CLAHE Algorithm Based on Optimized Bilinear Interpolation in Near Infrared Vein Image Enhancement
Miao Yu, Dalong Song, Weili Shi, Huamin Yang, Yanfang Li, Zhengang Jiang, Wei Ping He, Wanqing Gu · Proceedings of the 2nd International Conference on Computer Science and Application Engineering · 2018
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.