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    • 8. 发明授权
    • Method and apparatus for super-resolution video coding using compressive sampling measurements
    • 使用压缩采样测量的超分辨率视频编码的方法和装置
    • US09398310B2
    • 2016-07-19
    • US13182856
    • 2011-07-14
    • Hong JiangPaul A. Wilford
    • Hong JiangPaul A. Wilford
    • H04N7/26H04N19/59H04N19/46
    • H04N19/59H04N19/46
    • Embodiments relate to a method and apparatus for super resolution video coding using compressive measurements. The method includes receiving, by a decoder, a set of measurements, where the set of measurements represents encoded video data having original video data with an original display resolution. The method further includes determining, by the decoder, a display resolution, where the display resolution is higher than the original display resolution, and determining a reduction matrix based on at least a number of pixels for the determined display resolution, where the reduction matrix includes a pattern of values. The method further includes reconstructing, by the decoder, the video data or a portion of the video data using the determined reduction matrix and the received set of measurements such that the original display resolution is enlarged to the determined display resolution.
    • 实施例涉及使用压缩测量的用于超分辨率视频编码的方法和装置。 该方法包括由解码器接收一组测量,其中该组测量表示具有原始显示分辨率的原始视频数据的经编码的视频数据。 该方法还包括由解码器确定显示分辨率高于原始显示分辨率的显示分辨率,以及基于所确定的显示分辨率的至少一些像素来确定缩小矩阵,其中缩小矩阵包括 一种价值模式。 该方法还包括使用所确定的减小矩阵和所接收的测量集合,由解码器重建视频数据或视频数据的一部分,使得原始显示分辨率被放大到所确定的显示分辨率。
    • 10. 发明申请
    • Method and apparatus for approximating a function
    • 用于近似函数的方法和装置
    • US20100293213A1
    • 2010-11-18
    • US12454229
    • 2009-05-14
    • Hong JiangPaul A. Wilford
    • Hong JiangPaul A. Wilford
    • G06F1/02
    • H03F1/3247G06F17/17H03F2201/3224
    • Embodiments described herein provide techniques for computing an approximation of a function. These embodiments provide an iterative method that avoids the computation of the normal matrix and/or the coefficients, as is typical in the prior art. (See diagram 600, for example.) The iterative method works on the functions directly. At each iteration, the approximating function is computed directly. (See diagram 200.) Since there is no need to compute the normal matrix or the coefficients of the basis functions, this approach avoids the overhead associated with them, and therefore, increases the speed of computation and reduces resource requirements. For example, various embodiments are suitable for implementation on hardware devices such as on an FPGA or an ASIC.
    • 本文描述的实施例提供了用于计算功能的近似的技术。 这些实施例提供了避免正常矩阵和/或系数的计算的迭代方法,如现有技术中典型的那样。 (例如,参见图600)。迭代方法直接用于函数。 在每次迭代中,直接计算近似函数。 (见图200.)由于不需要计算正常矩阵或基函数的系数,因此该方法避免了与它们相关的开销,因此提高了计算速度,降低了资源需求。 例如,各种实施例适合于在诸如FPGA或ASIC的硬件设备上实现。