Alpha Rooting for Image Deblurring
M.Tech (C.S.E) VCE (AICTE), Hyderabad, India, A.Anusha A.Anusha, P. Govardhan · PARIPEX-INDIAN JOURNAL OF RESEARCH · 2012
To recover a sharp version from a blurred image is a long-standing inverse problem. In this paper, we analyze image deblurring in both theoretically and experimentally through three paradigms are: 1) The deterministic filter2) Bayesian Estimation 3) The proposed algorithm, alpha tonal correction methods, which gives better performance than the deterministic filter and sharp image estimation. We point out the weaknesses of the deterministic filter and unify the limitation latent in two kinds of image estimation methods. We further explain proposed alpha correction method which can able to handle quite large blurs beyond deterministic filter and image estimation. Finally, we demonstrate that our method outperforms state-of-the-art methods with a large margin.