Title :
Image identification and restoration in the subband domain
Author :
Kim, Jaemin ; Woods, John W.
Author_Institution :
Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
fDate :
5/1/1994 12:00:00 AM
Abstract :
When faced with a large support point spread function (PSF), the iterative expectation-maximization (EM) algorithm, which is often used for PSF identification, is very sensitive to the initial PSF estimate. To deal with this problem, the authors propose to do EM image identification and restoration in the subband domain. After the image is first divided into subbands, the EM algorithm is applied to each subband separately. Since the PSF can be taken to have smaller support in each subband, these subbands should be less of a problem with the EM model identification. They also introduce an adaptive subband EM method for use in the upper frequency subbands
Keywords :
image reconstruction; image segmentation; iterative methods; optical transfer function; EM algorithm; adaptive subband EM method; image identification; image restoration; iterative expectation-maximization algorithm; point spread function; subband domain; upper frequency subbands; Degradation; Equations; Frequency; Image converters; Image processing; Image restoration; Integrated circuit modeling; Iterative algorithms; Systems engineering and theory; Wiener filter;
Journal_Title :
Image Processing, IEEE Transactions on
