Digital Picture Processing
ForWaRD: Fourier-wavelet regularized deconvolution for ill-conditioned systems
IEEE Transactions on Signal Processing
A noise reduction filter for full-frame data imaging devices
IEEE Transactions on Consumer Electronics
Use of blur-space for deblurring and edge-preserving noise smoothing
IEEE Transactions on Image Processing
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The main idea of image restoration in the blur space is first to obtain a sequence of blurred images using a set of known point spread functions. Extrapolation of this sequence of images with respect to the blur parameter then gives the restored image. Usually, blur space restoration is done in a non-iterative manner and the amount of de-blurring is a parameter of the algorithm. In this paper, an iterative blur space restoration algorithm is proposed. Because of a simple stopping rule, the de-blurring parameter does not need to be predefined. Moreover, the proposed method contain a regularization procedure at pixel level that prevents edge overshooting. Results showing the improved performance of the proposed method, as opposed to the global methods, are presented.