PSF Search Algorithm for Dual-Exposure Type Blurred Image

نویسندگان

  • Moon Soo Chang
  • Sung Wook Yun
  • PooGyeon Park
چکیده

Many conventional blind image deconvolution algorithms have much processing time because the consideration of various cases and the optimization are required for general employment. Moreover, these algorithms are also complex to deal with various point spread functions (PSF). Therefore, this paper restricts the type of PSF to the dual-exposure type and proposes effective PSF search algorithm, using the point that the gain of PSF has a relatively small influence over the quality of the restored image though the size and direction of PSF are dominant in image restoration. Keywords— Blind image deconvolution, image restoration, the dual-exposure type blur, the hand shake blur.

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تاریخ انتشار 2007