An L1 norm of total variation regularization based super resolution reconstruction algorithm for images was proposed. The L1 norm was used to constrain the fidelity of the reconstructed image, and the total variation regularization was implemented to overcome the ill-posed of the problem. The edge of the image was preserved effectively and the speed of the algorithm was improved. Simulated taken low resolution image sequences for the designed algorithm were used in the experiments, and compared the proposed algorithm with the algorithm that based on L2 norm of total variation regularization for super resolution reconstruction in the way of subjective vision effect and objective quality, respectively. the results show that the proposed algorithm not only preserves the edge of image, but also improves the computing speed of the algorithm for super resolution reconstruction for image sequences.
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占美全,邓志良. 基于L1范数的总变分正则化超分辨率图像重建[J]. 科学技术与工程, 2010, (28): . zhanmeiquan, dengzhiliang. L1 Norm of Total Variation Regularization Based Super Resolution Reconstruction for Images[J]. Science Technology and Engineering,2010,(28).