基于视频模式识别的快速超分辨率重建

针对传统超分辨率重建方法运算量过大的问题，提出一种快速超分辨率重建算法。该算法在快速最大后验概率（MAP）重建算法的基础上，针对车牌识别的特定应用进一步简化了代价函数。该算法从低分辨率的图像序列中提取出高分辨率的图像。这些高分辨率的图像不仅极大地提高了车牌的识别率，也降低了获取高分辨率图像所需成像系统硬件的要求。移动车辆视频的盲重建实验表明，该算法能够有效地提高车牌图像的质量，而其运算量要远远小于其他的超分辨率重建方法。较低的运算量使得该算法能够有效应用于实时系统。

Fast Super-resolution Reconstruction for Video-based Pattern Recognition

To reduce the computational cost of super-resolution reconstruction,a fast super-resolution reconstruction algorithm is proposed.For the special application of License Plate Recognition,it uses a further simplified cost function which is used in the fast MAP-based(Maximum a Posteriori)algorithm.The algorithm abstracts the resolution of reconstruction image from low resolution frame sequences.The result photos can greatly promote the recognition rate,and reduce the hardware requirements for imaging system pr...