航拍图像传输视觉真实性优化数学建模仿真

Aerial Image Transmission Visual Authenticity Optimization Mathematical Modeling and Simulation

对于航拍图像传输视觉真实性优化研究,可有效减少图像在传输中的模糊、信息丢失等问题。传统方法基于相邻度理论来计算出相应权值,对图像进行平滑处理,提高传输视觉真实性。但该理论需要前提条件多,局限性大,导致平滑效果不理想。提出基于高斯滤波器的航拍图像传输视觉真实性优化数学建模方法。运用梯度算子从图像中提取局部邻域结构信息的大小和方向,并设计窗口的尺寸和方向,通过计算当前窗口图像像素与周围像素的灰度梯度,预判图像像素类型,根据像素点类型和梯度生成自适应的、各向异性的加权系数,通过多次平滑迭代使加权因子异性扩散,计算出窗口内各个点与中心点的灰度差,并以上述方法组建航拍图像传输视觉真实性优化数学模型。实验结果表明,所提方法能够在减少图像噪声的同时保留图像边缘信息,且应用性较强。

An optimization mathematical modeling method for the transmission visual authenticity in the aerial image based on the Gaussian filter is proposed. Firstly, the gradient operator is used to extract the size and orientation of local neighborhood structural information from the image, and the size and orientation of window is designed. Then, the image pixel type is pre -judged through calculating the gray gradient of current window image pixel and around pixel, and the self - adaption and anisotropic weighting coefficient is generated according to the pixel point type. Mo- reover,the anisotropic diffusing of the weighting factor is made through multiple smoothing iterations, and the gray difference between each point and central point in the window is worked out. Finally, the method is used to build the optimization mathematical model for the transmission visual authenticity in the aerial image. The simulation results show that the proposed method can reduce the image noise. Meanwhile, it retains the image border information and has good applicability.