Blur retrieval via separation of zeros sheets from noisy blurred images
This paper originally appeared as: Premaratne, P, Burnett, I and Liyanage, CD, Blur retrieval via separation of zeros sheets from noisy blurred images, Proceedings of 2004 International Symposium on Intelligent Multimedia, Video and Speech, 20-22 October 2004, 559-562. Copyright IEEE 2004.
A novel method of separating the point spread function from blurred images using zeros of the Z transform is presented when more than one blurred image is available. The proposed method is demonstrated to be effective with significant contamination with signal-to-noise ratios of over 30 dB. This method holds much promise as a blind deconvolution (i.e. problem of recovering two functions from their convolution) technique, as it does not impose any constraints on the point spread function, such as positivity. The article is presented with experimental results over different signal-to-noise ratios, depicting its effectiveness as a practical image restoration technique.
P. Premaratne, I. Burnett, and C. D. Liyanage. "Blur retrieval via separation of zeros sheets from noisy blurred images" Faculty of Informatics - Papers (2004).
Available at: http://works.bepress.com/iburnett/14