基于云计算的图像修复技术在艺术设计中的应用

The Application of Image Repair Technology Based on Cloud Computing in Art Design

本文基于块与块阵稀疏度匹配的图像修复技术在环境艺术设计中的应用,将采集的图像置于仿射不变子空间中进行块匹配,利用模块匹配技术提取破损位置的像素点,并定位信息中心,继而提取图像破损的边缘轮廓,结合轮廓像素点对分布阵列进行块匹配,寻找最佳修复块来复原图像信息,使得环境艺术更具分辨力。由仿真结果可知,此方法的应用可使缺失的图像部分获得有效修复,边缘不再模糊化,图像信息有极高的饱和度,表明环境艺术有很强的表达能力,应用价值也相当高。

This paper proposes the image repair technology based on block and block array sparsity matching application in environmental art design, the collected image in affine constant subspace for block matching, the use of module matching technology to extract the pixels of damaged location, and locate the information center, then extract image broken edge contour, combined with the contour pixel block matching distribution array, find the best repair block to restore image information, make environmental art more resolution. According to the simulation results, the application of this method can repair the missing image part effectively, the edge is no longer blurred, and the image information has an extremely high saturation, indicating that the environmental art has a strong expression ability, and the application value is also quite high.