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Realization on image 2D-DCT sparse transform based on FPGA
Zhang, Haifeng
2017-10-20
Conference Name14th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2017
Source Publication2016 13th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2017
Volume2018-February
Pages175-178
Conference Date2017-12-15
Conference PlaceChengdu, Sichuan Province, China
PublisherInstitute of Electrical and Electronics Engineers Inc.
Contribution Rank1
AbstractSampling is a necessary course that the Analog physical world leads to the world of digital information. Compressed sensing (CS) theory breaks through the traditional Nyquist sampling theorem for data acquisition. The research object of CS theory is a sparse representation of signals and here 2-D image sparse transform is achieved based on discrete cosine orthogonal basis. Furthermore, there are a presentation of 2D-DCT algorithm based on row-column decomposition structure and an illustration of the optimization algorithm of 1-D DCT based on FPGA emphatically, as well as the transpose RAM method between two levels 1-D DCT. Finally the rationality of the proposed algorithm is verified by comparing image 2D-DCT transformation based on FPGA and 2D-DCT calculation result in MATLAB. © 2017 IEEE.
Department动态光学成像研究室
DOI10.1109/ICCWAMTIP.2017.8301473
Indexed ByEI
ISBN9781509061259
Language英语
EI Accession Number20183105636310
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30551
Collection动态光学成像研究室
Corresponding AuthorZhang, Haifeng
AffiliationXi'An Institute of Optics and Precision Mechanics of CAS, Xi'an, Shanxi, China
Recommended Citation
GB/T 7714
Zhang, Haifeng. Realization on image 2D-DCT sparse transform based on FPGA[C]:Institute of Electrical and Electronics Engineers Inc.,2017:175-178.
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