Image identification and restoration based on equal power spectrum

Xin Shi; Shu-Hai Chen; Cheng-Jun Yang

doi:10.1117/12.186588

21 September 1994 Image identification and restoration based on equal power spectrum

Xin Shi, Shu-Hai Chen, Cheng-Jun Yang

Proceedings Volume 2298, Applications of Digital Image Processing XVII; (1994) https://doi.org/10.1117/12.186588
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

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.

Citation Download Citation

Xin Shi, Shu-Hai Chen, and Cheng-Jun Yang "Image identification and restoration based on equal power spectrum", Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); https://doi.org/10.1117/12.186588

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