Image identification and restoration based on equal power spectrum
Xin Ling Shi, Shu-Hai Chen, Chengjun Yang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994
The most challenging question in image restoration nowadays is how to obtain blur information from the degraded image. Specifically, the identification of PSF has been a subject of great interest. However, many early identification methods are, in general, more expensive computationally, and have some limitations, more or less. In this paper, a new identification and restoration method based on the power spectrum filter was proposed by means of equivalent power spectrum assumption. Specifically, a recognition method, for the power spectrum of the original image in the filter transfer function expression, was suggested through exploring spectra of the degraded image. The major merits of this method are it is simpler, more practicable, and more economical computationally than the others, such as identifying PSF parameters.