低分辨率图像的细节还原

Low-resolution Image Detail Restoration

本文通过分析视野运动产生多帧图像对低分辨率的物像进行细节信息还原处理。我们将视野运动分为靠近、远离的直线运动和与物体之间水平距离不变的平面运动。然后对模型关于局部二值化处理的进行了改进,发现局部自适应阈值的二值化的实用性,对灰度值差异较大的图片整合的能力。

This paper analyzes the visual field motion to produce multi-frame images to perform detailed information restoration processing on low-resolution images. We divide the motion of vision into linear motions that are close to and far from, and planar motions that do not change horizontally from the object. Then the model is improved on the local binarization process, and the practicality of the localized adaptive threshold binarization is found, and the ability to integrate pictures with large differences in gray values is found.