Image Super Resolution Based on Patch Rotation and Sparse Representation
Abstract: In the intelligent vehicle applications, high resolution image has become an integral part of auto-mobile function module. However, the feature of the training image patch of the traditional sparse representation based reconstruction method is unitary, which leads to a large number of sample patches to train a dictionary. In order to reduce the number of training samples, this paper pro-posed a method based on patch rotation and sparse representation. By rotating the patch for dif-ferent angle, the number of the patches is reduced, the feature of the patch is increased and the dictionary type becomes rich. During the reconstruction process, the adaptive weighted method is used to obtain the high resolution image. Experiments show that, the proposed method compared with the traditional method, not only has significant improvement in subjective quality, but also greatly improves the objective quality.
文章引用: 夏静满 , 厉 伟 , 汤 捷 , 刘 荣 , 李星灿 (2015) 基于块旋转和稀疏表示的图像超分辨率重建。 自然科学， 3， 5-11. doi: 10.12677/OJNS.2015.32002
 刘良辰 (2012) 基于整体到局部的分布式人脸超分辨率重建策略. 重庆大学硕士学论文, 重庆.
 Irani, M. and Peleg, S. (1991) Improving resolution by image registration. CVGIP: Graphical Models and Image Proceedings, 53, 231-239.
 Takeda, H. and Kskoui, P. (1989) High resolution image recovery from image-plane array using convex projections. Journal of the Optical Society of America A, 6, 715-726.
 孟庆武 (2004) 预估计混叠度的 MAP 超分辨率处理算法. 软件学报, 2, 207-214.
 杨妮 (2011) 基于混合MAP/POCS的序列图像超分辨率重建算法研究. 昆明理工大学, 昆明.
 Su, B.H. and Jin, W.Q. (2003) POCS-MAP based super-resolution image restoration. Acta Photonica Sinica, 32, 502- 504.
 Freeman, W.T., Jones, T.R. and Pasztor, E.C. (2002) Exam-ple-based super-resolution. IEEE Computer Graphics and Applications, 22, 56-65.
 Chang, H., Yenng, D.Y. and Xiong, Y. (2004) Super-resolution through neighbor embedding. IEEE Computer Society Conference on Computer Vi-sion and Pattern Recognition, 1, 275-282.
 Yang, J.C., Wright, J. and Huang, T. (2010) Image super-Resolution via sparse representation. IEEE Transaction on Image Processing, 19, 2861-2873.