计算机技术与发展2017，Vol.27Issue(12)：43-47,51,6.DOI:10.3969/j.issn.1673-629X.2017.12.010
基于稀疏表示的二值图像超分辨率重建算法
A Super-resolution Reconstruction Algorithm for Binary Image Based on Sparse Representation
摘要
Abstract
At present,there is little research on binary image super-resolution reconstruction. Binary image is widely used,but that of low-resolution will result in identification difficulties. In view of this,with deep research on binary image super-resolution reconstruction based on sparse representation,a super-resolution reconstruction algorithm for binary image is proposed. On the one hand,obvious fea-tures of the binary image are analyzed,and the edge and texture features of that are extracted to represent its high frequency information more accurately. Therefore,more priori information is provided,and the reconstructed quality of binary image is improved. On the other hand,for the different types in binary images,such as two-dimensional bar code and text,the clustering algorithm is integrated into dic-tionary learning,so that the learned dictionaries are more suitable for different types of binary image. Experimental results show that the proposed algorithm has a good effect in reconstruction for the binary image,with a certain robustness against noise.关键词
二值图像/稀疏表示/超分辨率重建/特征提取/字典学习Key words
binary image/sparse representation/super-resolution reconstruction/feature extraction/dictionary learning分类
信息技术与安全科学引用本文复制引用
沈怡灵,赵明哲,李强懿,李博涵..基于稀疏表示的二值图像超分辨率重建算法[J].计算机技术与发展,2017,27(12):43-47,51,6.基金项目
国家自然科学基金资助项目(61375021) （61375021）
国家自然科学基金青年基金(41301407) （41301407）
