Hardware efficient sparse FIR filtering in layered video coding

    公开(公告)号:US10182235B2

    公开(公告)日:2019-01-15

    申请号:US15473953

    申请日:2017-03-30

    Abstract: In a decoder, a processor extracts a control map of false contour filtering from a part of a multi-layer video signal that includes a low dynamic range image mapped from an original high-dynamic range (HDR) image. It determines one or more filter parameters for a sparse finite-impulse-response (FIR) filter, where the one or more filter parameters relate to at least in part on the control map of false contour filtering and a predicted image predicted from the low dynamic range image. It applies the sparse FIR filter to filter pixel values in a portion of the predicted image based at least in part on the control map of false contour filtering, and it reconstructs a version of the original HDR image based at least in part on the portion of the predicted image as filtered by the FIR filter.

    High precision up-sampling in scalable coding of high bit-depth video

    公开(公告)号:US10165288B2

    公开(公告)日:2018-12-25

    申请号:US14649198

    申请日:2013-12-04

    Abstract: The precision of up-sampling operations in a layered coding system is preserved when operating on video data with high bit-depth. In response to bit-depth requirements of the video coding or decoding system, scaling and rounding parameters are determined for a separable up-scaling filter. Input data are first filtered across a first spatial direction using a first rounding parameter to generate first up-sampled data. First intermediate data are generated by scaling the first up-sampled data using a first shift parameter. The intermediate data are then filtered across a second spatial direction using a second rounding parameter to generate second up-sampled data. Second intermediate data are generated by scaling the second up-sampled data using a second shift parameter. Final up-sampled data may be generated by clipping the second intermediate data.

    Hardware Efficient Sparse FIR Filtering in Layered Video Coding

    公开(公告)号:US20180192062A1

    公开(公告)日:2018-07-05

    申请号:US15473953

    申请日:2017-03-30

    CPC classification number: H04N19/33 H04N19/85 H04N19/86

    Abstract: In a decoder, a processor extracts a control map of false contour filtering from a part of a multi-layer video signal that includes a low dynamic range image mapped from an original high-dynamic range (HDR) image. It determines one or more filter parameters for a sparse finite-impulse-response (FIR) filter, where the one or more filter parameters relate to at least in part on the control map of false contour filtering and a predicted image predicted from the low dynamic range image. It applies the sparse FIR filter to filter pixel values in a portion of the predicted image based at least in part on the control map of false contour filtering, and it reconstructs a version of the original HDR image based at least in part on the portion of the predicted image as filtered by the FIR filter.

    Complexity scalable multilayer video coding
    148.
    发明授权
    Complexity scalable multilayer video coding 有权
    复杂度可扩展多层视频编码

    公开(公告)号:US09247246B2

    公开(公告)日:2016-01-26

    申请号:US13847022

    申请日:2013-03-19

    Abstract: A multi-layer video system has a first layer encoder that encodes a first layer of video information, at least one second layer encoder that encodes at least one second layer of video information, and an encoder side reference processing unit (RPU) that estimates one or more of an optimal filter or an optimal process that applies on a reference picture that is reconstructed from the first video information layer, and processes a current picture of the second video information layer, based on a correlation between the first layer reconstructed reference picture. The correlation relates to a complexity characteristic that scaleably corresponds to the first video information layer reconstructed reference picture and the second video information layer current picture. A scalable video bitstream is outputted, which may be decoded by a compatible decoder. A decoder side RPU and the encoder side RPU function as an RPU pair.

    Abstract translation: 多层视频系统具有对第一层视频信息进行编码的第一层编码器,至少一个编码至少一层第二层视频信息的第二层编码器,以及估计一个视频信号的编码器侧参考处理单元(RPU) 或更多的最佳滤波器或最佳处理,其适用于从第一视频信息层重建的参考图像,并且基于第一层重构参考图像之间的相关性处理第二视频信息层的当前图像。 相关性涉及可扩展地对应于第一视频信息层重构参考图像和第二视频信息层当前图像的复杂度特性。 输出可分级视频比特流,其可以由兼容解码器解码。 解码器侧RPU和编码器侧RPU作为RPU对。

    Guided post-prediction filtering in layered VDR coding
    149.
    发明授权
    Guided post-prediction filtering in layered VDR coding 有权
    分层VDR编码中的引导后预测滤波

    公开(公告)号:US08897581B2

    公开(公告)日:2014-11-25

    申请号:US13706089

    申请日:2012-12-05

    Abstract: A visual dynamic range (VDR) coding system creates a sequence of VDR prediction images using corresponding standard dynamic range (SDR) images and a prediction function. For each prediction image, an encoder identifies one or more areas within the prediction image suitable for post-prediction filtering. For each identified post-prediction area, a post-prediction filtering mode is selected among one or more post-prediction filtering modes. The selected post-prediction filtering mode is applied to output a filtered prediction image. Information related to the post-prediction filtering areas and the selected corresponding post-prediction filtering modes may be communicated to a receiver (e.g., as metadata) for guided post-prediction filtering. Example post-prediction filtering modes that use low-pass averaging filtering or adaptive linear interpolation are also described.

    Abstract translation: 视觉动态范围(VDR)编码系统使用相应的标准动态范围(SDR)图像和预测函数创建VDR预测图像序列。 对于每个预测图像,编码器识别适合于后预测滤波的预测图像内的一个或多个区域。 对于每个识别的后预测区域,在一个或多个后预测滤波模式中选择后预测滤波模式。 所选择的后预测滤波模式被应用以输出滤波预测图像。 与后预测滤波区域相关的信息和所选择的相应的后预测滤波模式可以被传送到接收机(例如,作为元数据)用于指导的后预测滤波。 还描述了使用低通平均滤波或自适应线性插值的示例性后预测滤波模式。

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