文件名称：Novel Diffusion-Based Models for Image Restoration and Interpolation2019.pdf
文件大小：13.09MB
文件格式：PDF
更新时间：2022-09-27 14:40:29
Novel Diffusion-Based Models Restoration Interpolation
Novel Diffusion-Based Models for Image Restoration and Interpolation Novel Diffusion-Based Models for Image Restoration and Interpolation.pdf (13.09 MB, 下载次数: 39 ) © Springer International Publishing AG, part of Springer Nature 2019 The mathematical models based on partial differential equations (PDEs) have been increasingly applied in some traditionally engineering domains, such as signal and image processing, image analysis and computer vision, for more than three decades. Since the partial differential equations express continuous change, they have long been used to formulate dynamical phenomena in some important engineering areas. These equations have been successfully used for solving many image processing and computer vision tasks in these years, leading to an entire new subdomain of this scientific field. Thus, they offer some important advantages to image processing and analysis and computer vision domains, such as their modelling flexibility, their strong mathematical foundation, and their numerical approximations representing reinterpretations of numerous classical image processing techniques.