A novel image restoration algorithm based on high-dimensional space geometry

A novel image restoration approach based on high-dimensional space geometry is proposed, which is quite different from the existing traditional image restoration techniques. It is based on the homeomorphisms and "Principle of Homology Continuity" (PHC), an image is mapped to a point in high-dimensional space. Begin with the original blurred image, we get two further blurred images, then the restored image can be obtained through the regressive curve derived from the three points which are mapped form the images. Experiments have proved the availability of this "blurred-blurred-restored" algorithm, and the comparison with the classical Wiener Filter approach is presented in final.

A novel image restoration approach based on high-dimensional space geometry is proposed, which is quite different from the existing traditional image restoration techniques. It is based on the homeomorphisms and "Principle of Homology Continuity" (PHC), an image is mapped to a point in high-dimensional space. Begin with the original blurred image, we get two further blurred images, then the restored image can be obtained through the regressive curve derived from the three points which are mapped form the images. Experiments have proved the availability of this "blurred-blurred-restored" algorithm, and the comparison with the classical Wiener Filter approach is presented in final.

zhangdi于2010-03-29批量导入

zhangdi于2010-03-29批量导入

IEE.; Univ Perugia.; Univ Calgary.; Univ Minnesota.; Queens Univ Belfast.; ERCIM.; OptimaNumerics.; INTEL.; AMD.

Zhejiang Univ Technol, Coll Informat Engn, Inst Intelligent Informat Syst, Hangzhou 310014, Peoples R China; Chinese Acad Sci, Inst Semicond, Beijing 100083, Peoples R China

IEE.; Univ Perugia.; Univ Calgary.; Univ Minnesota.; Queens Univ Belfast.; ERCIM.; OptimaNumerics.; INTEL.; AMD.