一种图像校正重采样效应的评估及优化方法

分析了图像校正中重采样效应的主要表现形式，建立了一种重采样效应的评估方法．在此基础上，根据图像投影变换及校正图像上基础矩阵的性质，给出了两种类型的图像校正不变量，提出了一种独立于图像校正过程的重采样效应优化方法，通过投影区域修正的方法提高校正图像质量，实验证明，该方法能够有效的降低图像变形，减少图像分辨率的损失．

Evaluation and Optimization Method of Resampling Effects in Image Rectification

Image rectification is the process of warping a pair of stereo images in order to align the epipolar lines with the scanlines of the images. Once a pair of images is rectified, stereo matching can be implemented in an efficient manner. However,many transformations will lead to unwanted image distortions. In this paper, we analysis the cause of effects of resampling and propose an evaluation method. Based on properties of fundamental matrix in image transformation and on rectified pairs, we give the definition of rectify invariables and propose two types of it to optimize the effects of resampling. The separating of rectification and correction widens the applicability bound. The method is proved to be efficiency in the experiments.