郑州大学学报（理学版）2015，Vol.47Issue(2)：73-77,5.DOI:10.3969/j.issn.1671-6841.2015.01.015
基于图像特征改进的正交匹配追踪算法
The Improved Orthogonal Match Pursuit Algorithm Based on Image Characteristics
摘要
Abstract
Compressive sensing to images has become a hot topic in light field imaging theory due to that it can be applied in simple, cheap and small light systems.Orthogonal match pursuit algorithm was an important recovery algorithm in the compressive sensing theory.It assumed that the weight of the whole imaging was the same when reconstructed, ignoring the inherent characteristics of the imaging, such as the intensity of the mutations among lines and columns, and ignoring the characteristics that the small sparse coefficient represented the detail of the image and the big sparse coefficient represented the outline of the image.The sparse coefficient was acquired by the operation of fast Fourier transform basis, discrete Cosine transform basis, or discrete wavelet transform basis.Two methods were put forward to solve this problem, that is, reasonably choosing the line by line or column by column in reconstruction, and using adaptive iterations to reconstruct image, if the image was affected by the three kinds of transform basis mentioned above.Simulation results showed that the improved algorithm could significantly improve the quality of image.关键词
光场成像/正交匹配追踪算法/压缩传感/稀疏表示/图像重建Key words
light field imaging/orthogonal match pursuit algorithm/compressive sensing/sparse repre-sentation/image reconstruction分类
数理科学引用本文复制引用
王玲,田勇志,王俊俏,臧华平,刘晓旻,赵楠楠,陈宝鑫,梁二军..基于图像特征改进的正交匹配追踪算法[J].郑州大学学报（理学版）,2015,47(2):73-77,5.基金项目
国家自然科学基金资助项目,编号61307019 （）
河南省科技厅重点科技攻关项目,编号132102210396 （）
河南省教育厅科学技术研究资助项目,编号13A140693,14A14000 （）
郑州市科技创新团队基金资助项目,编号112PCXTD337. （）
