System and process for image rescaling using adaptive interpolation kernal with sharpness and de-ringing control
    1.
    发明授权
    System and process for image rescaling using adaptive interpolation kernal with sharpness and de-ringing control 有权
    使用具有锐度和去声控制的自适应插值内核的图像重定标系统和过程

    公开(公告)号:US09390469B2

    公开(公告)日:2016-07-12

    申请号:US14466274

    申请日:2014-08-22

    Inventor: Yong Huang

    CPC classification number: G06T3/4007

    Abstract: A digital video rescaling system is provided. The system includes an image data input configured to receive input support pixels y1 to yn and a sharpness control module configured to generate a sharpness control parameter Kshp. The system further includes an interpolated pixel generator configured to use an adaptive interpolation kernel to generate an interpolated pixel ys based on the input support pixels, and adjust a sharpness of the interpolated pixel ys based at least partly upon the sharpness control parameter Kshp. The system also includes a de-ringing control unit to adjust the ringing effect of the interpolated pixel based on a local image feature Kfreq, and an output module configured to output the adjusted interpolated pixel for display.

    Abstract translation: 提供了数字视频重新定标系统。 该系统包括被配置为接收输入支持像素y1至yn的图像数据输入和被配置为生成锐度控制参数Kshp的锐度控制模块。 该系统还包括内插像素生成器,其被配置为使用自适应内插内核来基于输入的支持像素生成内插像素ys,并且至少部分地基于锐度控制参数Kshp来调整内插像素ys的清晰度。 该系统还包括一个去振铃控制单元,用于基于局部图像特征Kfreq来调整内插像素的振铃效果,以及输出模块,被配置为输出经调整的内插像素进行显示。

    SYSTEM AND PROCESS FOR IMAGE RESCALING USING ADAPTIVE INTERPOLATION KERNAL WITH SHARPNESS AND DE-RINGING CONTROL
    2.
    发明申请
    SYSTEM AND PROCESS FOR IMAGE RESCALING USING ADAPTIVE INTERPOLATION KERNAL WITH SHARPNESS AND DE-RINGING CONTROL 有权
    使用适应性插值法进行图像重构的系统和过程,具有锐度和去环控制

    公开(公告)号:US20140362288A1

    公开(公告)日:2014-12-11

    申请号:US14466274

    申请日:2014-08-22

    Inventor: Yong Huang

    CPC classification number: G06T3/4007

    Abstract: A digital video rescaling system is provided. The system includes an image data input configured to receive input support pixels y1 to yn and a sharpness control module configured to generate a sharpness control parameter Kshp. The system further includes an interpolated pixel generator configured to use an adaptive interpolation kernel to generate an interpolated pixel ys based on the input support pixels, and adjust a sharpness of the interpolated pixel ys based at least partly upon the sharpness control parameter Kshp. The system also includes a de-ringing control unit to adjust the ringing effect of the interpolated pixel based on a local image feature Kfreq, and an output module configured to output the adjusted interpolated pixel for display.

    Abstract translation: 提供了数字视频重新定标系统。 该系统包括被配置为接收输入支持像素y1至yn的图像数据输入和被配置为生成锐度控制参数Kshp的锐度控制模块。 该系统还包括内插像素生成器,其被配置为使用自适应内插内核来基于输入的支持像素生成内插像素ys,并且至少部分地基于锐度控制参数Kshp来调整内插像素ys的清晰度。 该系统还包括一个去振铃控制单元,用于基于局部图像特征Kfreq来调整内插像素的振铃效果,以及输出模块,被配置为输出经调整的内插像素进行显示。

    Content-based aspect ratio detection
    4.
    发明授权
    Content-based aspect ratio detection 有权
    基于内容的宽高比检测

    公开(公告)号:US09135720B2

    公开(公告)日:2015-09-15

    申请号:US13851807

    申请日:2013-03-27

    Abstract: A system for determining an aspect ratio of image content based on an analysis of the content. In an embodiment, an analyzer is configured to receive a data input corresponding to an image in a stream of images that constitute a video sequence of images. The analyzer is further configured to determine a mathematical representation of the image content based on a power spectrum analysis of vertical components of the image in comparison to a power spectrum analysis of horizontal components of the image. Based on this comparison of the vertical frequency components to the horizontal frequency components, a determination about the original aspect ratio of the image may be determined. This determination may be used by a video processor to correctly apply aspect ratio conversion for final image output.

    Abstract translation: 一种用于基于内容的分析来确定图像内容的宽高比的系统。 在一个实施例中,分析器被配置为接收对应于构成图像的视频序列的图像流中的图像的数据输入。 分析器还被配置为与图像的水平分量的功率谱分析相比,基于图像的垂直分量的功率谱分析来确定图像内容的数学表示。 基于垂直频率分量与水平频率分量的比较,可以确定关于图像的原始纵横比的确定。 视频处理器可以使用该确定来正确应用最终图像输出的宽高比转换。

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