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Image deblurring techniques play important roles in many image processingapplications. As the blur varies spatially across the image plane, it calls forrobust and effective methods to deal with the spatially-variant blur problem.In this paper, a Saliency-based Deblurring (SD) approach is proposed based onthe saliency detection for salient-region segmentation and a correspondingcompensate method for image deblurring. We also propose a PDE-based deblurringmethod which introduces an anisotropic Partial Differential Equation (PDE)model for latent image prediction and employs an adaptive optimization model inthe kernel estimation and deconvolution steps. Experimental results demonstratethe effectiveness of the proposed algorithm.

Improved Image Deblurring based on Salient-region Segmentation