摄屏类图像重构算法

目前摄影摄像设备所采集图像的分辨率远远高于屏幕分辨率，因此摄屏类图像经缩放后往往有大量摩尔纹产生.针对该类图像摩尔纹干扰以及内存过大、图像短焦距畸等现象，本文首次提出了摄屏类图像重构算法.首先，通过长度自适应的线型滤波算法分离网状高频信号.再通过快速Greedy算法和贝努利随机游走提取图像的高频信息，根据液晶点结构的先验知识，构建完整的液晶排布模型并数学拟合，分离出被拍摄屏幕画面信息和液晶点网状纹路.最后对图像矩阵空间重构，以及颜色通道的插值恢复.重构算法在矩阵空间上与原始图像一致，实验样本与原图的直方图相似度达到80%以上，远高于摄屏图像与原图38.7%的相似度.算法保留了图像信息，舍去高频网状噪声，恢复原始矩阵空间，使图像更符合实际需求.

Reconstruction Algorithm of Image Captured from Screen

At present, the resolution of the image captured by the camera is much higher than that of the screen. A large number of moires are appeared after the image is scaled. Aiming at the phenomena of moire interference, large memory, and short focal length distortion, this study puts forward a kind of image reconstruction algorithm for the first time. First, the adaptive high-frequency linear filtering algorithm is used to separate the high frequency signal from the network. Then the high-frequency information of the image is extracted by the fast Greedy algorithm and Bernoulli random walk. According to the prior knowledge of the structure of the liquid crystal point, a complete liquid crystal layout model is constructed and mathematically fitted to separate the information of the screen and the reticulation of the liquid crystal point. Finally, the reconstruction of the image matrix space and the interpolation and restoration of the color channel are carried out. The reconstruction algorithm is consistent with the original image in matrix space. The histogram similarity of the experimental sample and the original image is more than 80%, which is much higher than that of the screen image and the original image 38.7%. The algorithm retains the image information, eliminates the high-frequency mesh noise, restores the original matrix space, and makes the image more in line with the actual needs.