Regularized Image Restoration
نویسندگان
چکیده
Image restoration or deconvolution of a blurred natural image is a mature research activity with a rich set of available techniques and algorithms, well-summarised in review articles, Banham & Katsaggelos (1997); Kundur & Hatzinakos (1996). Despite this history and volume of work, there is current research activity motivated by the desire to find yet superior methods to restore the ground truth image (GTI). Important performance metrics to assess the efficacy of restoration methods include: restoration accuracy, computational complexity and convergence speed. In this chapter we use these performance metrics in the development of restoration methods of greatest utility for real-world applications where complexity/speed is a major concern and the evaluation of image restoration needs to take into account the highly structured features of natural images and, to a lesser extent, the human visual system.
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