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Full-Text Articles in Physical Sciences and Mathematics
Role Of Wavelet Transforms In Image Restoration, Prashan Premaratne, I. Burnett
Role Of Wavelet Transforms In Image Restoration, Prashan Premaratne, I. Burnett
Faculty of Informatics - Papers (Archive)
Image processing techniques including image restoration rely heavily on discrete Fourier transform (DFT) for frequency domain representation for analysis of its frequency content. Even though wavelet analysis has been around for more than a decade, much of its potential as a tool to analyze time-frequency localization of signal has not been properly tapped. In blind iterative deconvolution where a degraded image is restored with minimum a priori information about the original image or the point spread function (PSF), it is almost impossible to evaluate whether a restoration is achieved or not without human observation. We propose a new approach using …
Blur Retrieval Via Separation Of Zeros Sheets From Noisy Blurred Images, Prashan Premaratne, I. Burnett, C. D. Liyanage
Blur Retrieval Via Separation Of Zeros Sheets From Noisy Blurred Images, Prashan Premaratne, I. Burnett, C. D. Liyanage
Faculty of Informatics - Papers (Archive)
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.