关于三维数字动画图像增强分辨率仿真

摘要

对三维数字动画图像的分辨率进行增强研究,能够有效提升对三维数字动画图像的设计质量.对数字动画图像分辨率的增强,需要获取初始超分辨率图像块最佳匹配块,提取出最佳匹配块的高频信息,完成对图像分辨率的增强.传统先得到模糊边缘判决器,给出各个像素点属于边缘的程度,但忽略了获取图像最佳匹配块,导致增强效果不理想.提出基于模糊理论的三维数字动画图像分辨率增强方法.给出动画模糊特征平面,组建动画图像分辨率模糊隶属度矩阵,确定动画图像边缘点,计算出图像每一点的梯度幅值.获取原始低分辨率图像块中的最佳匹配块,提取出最佳匹配块的高频信息,消除图像中高频成分中能量较小的伪高频噪声成分,获取准确的动画图像分辨率信息,完成对三维数字动画图像分辨率增强.仿真证明,所提方法动画增强效果较为明显,为三维动画的迅速发展奠定了基础.%In this paper,we propose a visualization de-noising algorithm of data of seabed sonar based on least squares self-adaption.Firstly,the algorithm of least squares self-adapfion was used to carry out de-noising processing for signal of seabed sonar image with one dimension and parameter of filter was obtained via multiple iteration to form filtering mask.Then,filtering was carried out for seabed sonar image with two dimension,and NSCT decomposition was carried out for the two-dimensional image containing noise.Seabed sonar images with high and low frequency having different direction information were obtained.Moreover,a mid-value algorithm was used to carry out filtering for high-frequency part of the sonar image,and nonlocal average filtering was used to deal with low-frequency part of the image.Threshold value was selected after synthesizing noise situation of the image with high and low frequency after filtering,and threshold value of different area was adjusted via different factors.The conclusion can be drawn from experimental simulation that the algorithm can improve de-noising effect of the sonar data effectively and has better visualization effect.