【作者】 王守觉； 谢美芬； 曹文明；

【Author】 WANG Shou-jue , XIE Mei-fen, CAO Wen-ming (Institute of Semiconductors, Chinese Academy of Science, Beijing 100083 China; College of Information of Engineering, Zhejiang University of Technology, Hangzhou 310014, China.

【机构】 中国科学院半导体研究所； 浙江工业大学信息工程学院；

【摘要】 提出一种有别于传统方法的基于高维空间几何学的图像恢复方法．它基于同胚映射和同源连续性原理,将一幅图像映射为高维空间中的一个点,通过回归原模糊图像和由此图像衍生出的几幅更加模糊的图像对应在空间中几个点的分布曲线,得到清晰的复原图像．通过实验并与经典维纳滤波方法进行比较,证明了这种“模糊-模糊-清晰”算法的可行性．更多还原

【Abstract】 A novel image restoration approach based on high-dimensional space geometry is proposed, which is quite different from the existing traditional image restoration approaches. It is based on the homeomorphisms and Principle of Homology Continuity (PHC), an image is mapped to a point in high-dimensional space. Beginning with the original blurred image, two further blurred images are get, then the restored image can be obtained through the regressive curve derived from the three points which is mapped form the images. Experiments comparied with the classical Winner Filter approach are presented to prove the availability of this blurred-blurred-restored algorithm.更多还原