Mathematics of Digital Images - Creation, Compression, Restoration, Recognition; by S. G. Hoggar (Cambridge, 2006) Compression, restoration and recognition are three of the key components of digital imaging. The mathematics needed to understand and
对图像利用降阶卡尔曼滤波进行恢复 In image deconvolution or restoration using Kalman filter, the image and blur models are required to be known for the restoration process. Generally, the accuracy of the restoration depends on the accuracy of the given models. Unfor
We firstly present a variational approach such that during image restoration, edges detected in the original image are being preserved, and then we compare in a second part, the mathematical foundation of this method with respect to some of the well
Images contain information about the spatial properties of the scene they depict. When coupled with suitable assumptions, images can be used to infer three-dimensional information. This useful volume concentrates on motion blur and defocus, which ca
