计算机与现代化Issue(8)：90-92,3.DOI:10.3969/j.issn.1006-2475.2012.08.025
基于几何代数的散焦模糊高维图像恢复
A Novel Approach of High-dimensional Image Restoration Based on Geometry Algebra
摘要
Abstract
The geometry algebra can compute and analyze the high-dimensional space geometry in an easy way. Taking advantage of this property, the paper denotes the color image as one point in the geometry space by using the geometry algebra. The image transform can be treated on the language of geometry algebra as action of some transform. The image transform can be treated as the movements of the point in the high-dimensional space from the view of geometry. Beginning with the original blurred image, two further blurred images are got, then the restoral image can be obtained through the regressive curve derived from the three points in the geometry space which are mapped from the images by making use of geometry algebra. Experiments are presented to prove the availability of this method.关键词
几何代数/高维图像/散焦模糊/图像恢复/高维空间Key words
geometry algebra/ high-dimensional image/ defocus blur image/ image restoration/ high-dimensional space分类
信息技术与安全科学引用本文复制引用
户利利..基于几何代数的散焦模糊高维图像恢复[J].计算机与现代化,2012,(8):90-92,3.
