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|Title:||Restoration of real-world motion-blurred images||Authors:||Tan, K.-C.
|Issue Date:||May-1991||Citation:||Tan, K.-C.,Lim, H.,Tan, B.T.G. (1991-05). Restoration of real-world motion-blurred images. CVGIP: Graphical Models and Image Processing 53 (3) : 291-299. ScholarBank@NUS Repository.||Abstract:||Estimating the PSF of a real-world motion-blurred image is an essential step in the restoration process. To estimate the PSF, some techniques assume that it is a spatially invariant square pulse, and extract the blur extent from the zero-crossings of the averaged power spectrum. Some techniques make use of special features such as isolated point objects or sharp edges in a homogeneous background. Recently, sophisticated methods based on maximum likelihood estimators have been developed for estimation of symmetrical PSFs. In actual applications, we often encountered motion-blurred images which have asymmetrical PSFs. There are also no special features such as isolated points. These images present challenges which are not satisfactorily met by the above techniques. In this paper, we first study the error characteristics due to the use of inappropriate PSFs. On the basis of the results, we develop a procedure for estimating (possibly) asymmetrical PSFs of real-world motion-blurred images. The procedure starts with a preliminary restoration using a ramp PSF. The result will indicate if a ramp PSF, a square pulse PSF, or a trapezoid PSF is appropriate, and also provide an estimate for the blur extent of the appropriate PSF. Images restored according to the procedure are practically free of ghost or ringing patterns. The effectiveness and practicality of the proposed procedure is tested using a few real-world images blurred with unknown PSF. © 1991.||Source Title:||CVGIP: Graphical Models and Image Processing||URI:||http://scholarbank.nus.edu.sg/handle/10635/97818||ISSN:||10499652|
|Appears in Collections:||Staff Publications|
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