Image multi-level wavelet full sub-band compressed sensing encoding algorithm

作者: He Yongyang , Ding Jianyu , Hu Dong

DOI:

关键词:

摘要: The invention provides an image multi-level wavelet full sub-band compressed sensing encoding algorithm for performing sparse representation on natural images, and transforming the images into a domain with great sparsity, wherein low frequency is very important reconstructing importance of each element descendant thereof in high coefficient aredifferent from sparsity different layer coefficients, weight matrix designed according to coefficients vector, corresponding set relationship that energy times as large energy, improved measurement obtained, finally observation performed vector obtain measured value. At reconstruction end, composed HF, LH HH sub-bands, inverse transformation reconstructed image.

参考文章(8)
Mohit Kalra, D. Ghosh, Image compression using wavelet based compressed sensing and vector quantization international conference on signal processing. ,vol. 1, pp. 640- 645 ,(2012) , 10.1109/ICOSP.2012.6491569
A. Said, W.A. Pearlman, A new, fast, and efficient image codec based on set partitioning in hierarchical trees IEEE Transactions on Circuits and Systems for Video Technology. ,vol. 6, pp. 243- 250 ,(1996) , 10.1109/76.499834
Zhaohui Zeng, I.G. Cumming, SAR image data compression using a tree-structured wavelet transform IEEE Transactions on Geoscience and Remote Sensing. ,vol. 39, pp. 546- 552 ,(2001) , 10.1109/36.911112
Xu Xue, Gao Wei, Xue Chengbo, Shi Yueting, Wang Weijiang, Image self-adaptive compressed sensing method based on sparse degree fitting ,(2016)
Zhou Feifei, Yang Zhenzhen, Li Lei, Image reconstruction method based on compressed sensing ,(2015)