A real time mixing module for high definition television (HDTV) data of SMPTE 274M and PC video data is designed. The hardware implementation, algorithm and simulation of the mixing module are given. In order to impro...A real time mixing module for high definition television (HDTV) data of SMPTE 274M and PC video data is designed. The hardware implementation, algorithm and simulation of the mixing module are given. In order to improve the capability of data processing, an anti-fuse FPGA chip and a mechanism of pipelining and modularization are adopted. With 6 parallel LUTs and a fast algorithm, it can mix 4∶2∶2 component signals in luminance and chrominance space respectively in real time. According to the simulation, the module has the ability to mix the uncompressed HDTV data with PC video data in real time, which can not be fulfilled by current ASIC chips. Furthermore, it can be extended to multi-stage mixing with the thoughts implied by the design. The mixing module can be widely used in HDTV production systems.展开更多
We propose a novel method by combining the total variation（TV） with the high-degree TV（HDTV） to improve the reconstruction quality of sparse-view sampling photoacoustic imaging（PAI）. A weighing function is adapt...We propose a novel method by combining the total variation（TV） with the high-degree TV（HDTV） to improve the reconstruction quality of sparse-view sampling photoacoustic imaging（PAI）. A weighing function is adaptively updated in an iterative way to combine the solutions of the TV and HDTV minimizations. The fast iterative shrinkage/thresholding algorithm is implemented to solve both the TV and the HDTV minimizations with better convergence rate. Numerical results demonstrate the superiority and efficiency of the proposed method on sparse-view PAI. In vitro experiments also illustrate that the method can be used in practical sparse-view PAI.展开更多
文摘A real time mixing module for high definition television (HDTV) data of SMPTE 274M and PC video data is designed. The hardware implementation, algorithm and simulation of the mixing module are given. In order to improve the capability of data processing, an anti-fuse FPGA chip and a mechanism of pipelining and modularization are adopted. With 6 parallel LUTs and a fast algorithm, it can mix 4∶2∶2 component signals in luminance and chrominance space respectively in real time. According to the simulation, the module has the ability to mix the uncompressed HDTV data with PC video data in real time, which can not be fulfilled by current ASIC chips. Furthermore, it can be extended to multi-stage mixing with the thoughts implied by the design. The mixing module can be widely used in HDTV production systems.
基金supported by the National Natural Science Foundation of China(Nos.61271071 and 11228411)the National Key Technology R&D Program of China(No.2012BAI13B02)the Specialized Research Fund for the Doctoral Program of Higher Education of China(No.20110071110017)
文摘We propose a novel method by combining the total variation（TV） with the high-degree TV（HDTV） to improve the reconstruction quality of sparse-view sampling photoacoustic imaging（PAI）. A weighing function is adaptively updated in an iterative way to combine the solutions of the TV and HDTV minimizations. The fast iterative shrinkage/thresholding algorithm is implemented to solve both the TV and the HDTV minimizations with better convergence rate. Numerical results demonstrate the superiority and efficiency of the proposed method on sparse-view PAI. In vitro experiments also illustrate that the method can be used in practical sparse-view PAI.
