图像修复技术在环境艺术设计中的应用研究

Application of image restoration technology in environmental art design

在环境艺术设计中,需要对环境信息缺失部分进行有效修复,提高环境艺术的信息表达能力。提出一种基于块与块阵稀疏度匹配的图像修复技术,并应用在环境艺术设计中。在仿射不变子空间中对采集的环境艺术图像进行块匹配,采用模板匹配技术进行图像破损区域的边缘像素点提取,以边缘像素点为信息定位中心,提取环境艺术图像破损区域的边缘轮廓,根据边缘轮廓的像素点分布阵列的稀疏度差异性进行块匹配,在最佳修复块区域内进行环境艺术图像的纹理信息复原,提高环境艺术的鉴别和分辨能力。仿真结果表明,采用该方法进行图像修复能有效修复环境艺术图像的缺失部分,避免边缘模糊化,输出图像的信息饱含度较高,说明环境艺术的表达能力较强,在环境艺术设计中具有很好的应用价值。

In order to restore the missing environmental information in environmental art design effectively,and improve the information expression ability of environmental art,an image restoration technology based on block and block matrix sparsity matching is put forward,and applied to the environmental art design. The block matching is performed for the acquired environmental art image in the affine invariant subspace. The template matching technology is used to extract the edge pixel points of the image damaged area. The edge pixel point is taken as the information positioning center to extract the edge contour of image damaged area of environmental art. According to the sparsity difference of pixel points distribution array of the edge contour,the block matching is performed for the edge contour. The texture information of environmental art image in the best restiration area is restored to improve the distinguishing and identification abilities of environmental art. The simulation results show that the method used for image restoration can restore the missing section of the environment art image effectively,avoid the edge fuzzification,and has high information content of the output image,which indicates that the method has strong expressive ability of the environment art and high application value in the environment art design.