Joint fractal-wavelet image denoising interpolation

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