Joint fractal-wavelet image denoising interpolation

TitleJoint fractal-wavelet image denoising interpolation
Publication TypeConference Paper
Year of Publication2005
AuthorsGhazel, M., E. R. Vrscay, G. H. Freeman, R. K. Ward, and R. Abugharbieh
Conference NameElectrical and Computer Engineering, 2005. Canadian Conference on
Pagination972 -975
Date Publishedmay.
Keywordscycle spinning algorithm, decoding process, encoding process, extrapolation, fractal-wavelet extrapolation, fractal-wavelet image denoising, fractal-wavelet image interpolation, image coding, image denoising, interpolation, noiseless image, resizing scheme, the fractal code, visual quality, wavelet transforms

In this paper, we propose a simple and effective fractal-wavelet simultaneous image denoising and interpolation scheme. The denoising is performed during the encoding process while the interpolation is performed during the decoding process. The fractal-based image denoising involves predicting the fractal code of the original noiseless image from the statistics of the noisy observation. This fractal code can then be used to generate a fractal-wavelet denoised estimate of the original image. The fractal-wavelet interpolation can be easily achieved during the decoding process by performing a suitable number of additional fractal-wavelet extrapolation steps. The cycle spinning algorithm can also be incorporated in the proposed fractal-wavelet joint denoising and resizing scheme in order to reduce some of the artifacts and enhance the visual quality of the denoised and resized estimates


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