Ll Norm of Total Variation Regularization Based Super Resolution Reconstruction for Images
Yimin Li · Microprocessors · 2012
Super resolution image reconstruction is a new technology which means to use multiple video sequences,or single-frame image and the training sample images of complementary information between the images to reconstruct a better quality,higher spatial resolution image data,make up the original image data is the lack of spatial resolution,improved image spatial resolution for force and clarity.Describes the method based on regularization of the super-resolution image reconstruction.On this basis,using the L1 norm of the reconstructed image fidelity constraint,the use of total variation regularization to overcome the ill-conditioned reconstruction problems,effectively maintain the edge of the image.To achieve a text message containing the image of regularized super-resolution reconstruction,experimental verification of the effectiveness of the method.