计算机技术与发展2012，Vol.22Issue(4)：12-15,4.
基于NIOS Ⅱ的图像压缩感知
Compressed Sensing of Image Based on NIOS Ⅱ
摘要
Abstract
Compression Sensing (CS) is a new theory in sparse signal processing field which was proposed in recent years. It combines the signal compression and sampling simultaneously. It breaks through the bottlenecks of Shannon sampling theorem and makes the high resolution signal acquisition possible since the signal measurement data is far less than the data of the conventional method. Developed by ALTERA company, NIOS Ⅱ embedded processor is the second generation of the programmable soft core processor with its flexibility suiting for terminal data processing. Orthogonal Matching Pursuit (OMP) is a classical algorithm of reconstruction in CS theory. The problem that image reconstruction needs large storage and time is solved by proposing image dividing compressed scheme. Considering the relativity is disserved between columns when reconstructing the original image. Proposed an algorithm by equalizing the data of image in rows and columns. Results in actual system show that these two improvements have achieved good effects.关键词
压缩感知/稀疏表示/观测矩阵/正交匹配追踪算法Key words
compressed sensing/sparse representation/measurement matrix/OMP分类
信息技术与安全科学引用本文复制引用
王韦刚,庄伟胤..基于NIOS Ⅱ的图像压缩感知[J].计算机技术与发展,2012,22(4):12-15,4.基金项目
南京邮电大学科研项目基金(NY210038) （NY210038）
