Two-stage blind deconvolution scheme using useful priors |
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Authors: | Wei Wang Jin-jin Zheng Shuai Chen Shi-hai Xu Hong-jun Zhou |
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Institution: | 1. Department of Precision Machinery and Instrumentation, University of Science and Technology of China, Hefei 230026, China;2. National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei 230029, China |
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Abstract: | Hand shake blurry image is a common phenomenon in our daily life. In this paper, a novel blind deconvolution scheme is proposed to recover a single hand shake blurry image. The algorithm is subdivided into two main stages, kernel estimation stage and non-blind deconvolution stage. In the kernel estimation stage, we propose a cost function taking a selected map into consideration. In the non-blind decovolution stage, another cost function is designed using image derivatives prior. We also present an adaptive kernel size selection method instead of traditional manual selection. Extensive experiments on real world blurry images are conducted to demonstrate the performance of our algorithm. |
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Keywords: | Two-step blind deconvolution Cost function Multi-scale Adaptive selection |
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