Multi-Frame Un-Registration Degraded Image Blind Deconvolution Based on Point Spread Functions’ Support Domain Expansion

Abstract

Abstract:

Multi-frame blind deconvolution algorithm using multi-frame degraded images can get clear the original image and the point spread function of information, and has been received the concern of many researchers. At present, the majority of multi-frame blind deconvolution algorithms need registration pretreatment for multi-frame images in order to eliminate the restored image error. In this paper, multi-frame blind deconvolution algorithm in frequency domain is proposed to process the degraded images without registration pretreatment and with point spread functions’ support domain expansion. The feasibility of the method is illustrated by using properties of the Fourier transform. The digital simulation experiments are carried out to confirm the effectiveness of the proposed method.

Key words: Blind deconvolution; Point spread function; Support domain; Registration

LI Jing, QIAO Rui. Multi-Frame Un-Registration Degraded Image Blind Deconvolution Based on Point Spread Functions’ Support Domain Expansion[J]. J4, 2015, 32(4): 407-413.

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