【摘要】 为提高图像重建质量,研究超分辨率图像重建技术与稀疏表示理论,提出一种基于L1/2正则化的超分辨率图像重建算法。将L1/2正则化理论运用到字典学习中,利用学习得到的字典重建高分辨率图像。实验结果表明,该算法的图像重建效果优于基于L1正则化的超分辨率图像重建算法。更多还原

【Abstract】 In order to improve the image reconstruction quality,by studying the super-resolution image reconstruction technology and the theory of sparse representation,this paper proposes a super-resolution image reconstruction algorithm based on L1/2 regularization.It applies L1/2 regularization into dictionary learning,and reconstructs super-resolution images using learned dictionaries.Experimental results show that the reconstruction results in this paper are better than the results of super-resolution image reconstruction algorithm based on L1 regularization.更多还原