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    • 6. 发明申请
    • MULTI-RANGE HDR VIDEO CODING
    • WO2020048790A1
    • 2020-03-12
    • PCT/EP2019/072536
    • 2019-08-22
    • KONINKLIJKE PHILIPS N.V.
    • VAN DER VLEUTEN, Renatus, JosephusNIJLAND, RutgerTICHELAAR, Johannes, Yzebrand
    • H04N19/98G06T5/00H04N19/162H04N19/179
    • At least some applications in the total HDR video chain desire some more sophisticated approach, such as a high dynamic range video encoder (900), arranged to receive via an image input (920) an input high dynamic range image (MsterHDR) which has a first maximum pixel luminance (PB_C_H50), the encoder being arranged to receive via a metadata input (921) a master luma mapping function (FL_50t1), which luma mapping function defines the relationship between normalized lumas of the input high dynamic range image and normalized lumas of a corresponding standard dynamic range image (Im_LDR) having a maximum pixel luminance of preferably 100 nit, characterized in that the encoder further comprises a metadata input (923) to receive a second maximum pixel luminance (PB_CH), and the encoder further being characterized in that it comprises: - a HDR function generation unit (901) arranged to apply a standardized algorithm to transform the master luma mapping function (FL_50t1) into a adapted luma mapping function (F_H2hCI), which relates normalized lumas of the input high dynamic range image to normalized luminances of an intermediate dynamic range image (IDR) which is characterized by having a maximum possible luminance being equal to the second maximum pixel luminance (PB_CH); an IDR image calculation unit (902) arranged to apply the adapted luma mapping function (F_H2hCI) to lumas of pixels of the input high dynamic range image (MsterHDR) to obtain lumas of pixels of the intermediate dynamic range image (IDR); and an IDR mapping function generator (903) arranged to derive on the basis of the master luma mapping function (FL_50t1) and the adapted luma mapping function (F_H2hCI) a channel luma mapping function (F_I2sCI), which defines as output the respective normalized lumas of the standard dynamic range image (Im_LDR) when given as input the respective normalized lumas of the intermediate dynamic range image (IDR); the encoder being further characterized to have as output: the intermediate dynamic range image (IDR), as first metadata the second maximum pixel luminance (PB_CH), as second metadata the channel luma mapping function (F_I2sCI); and as third metadata the first maximum pixel luminance (PB_C_H50).
    • 8. 发明申请
    • REAL-TIME RESHAPING OF SINGLE-LAYER BACKWARDS-COMPATIBLE CODEC
    • 单层反向兼容编解码器的实时重构
    • WO2018044803A1
    • 2018-03-08
    • PCT/US2017/048925
    • 2017-08-28
    • DOLBY LABORATORIES LICENSING CORPORATION
    • SONG, QingKADU, HarshadCHEN, QianSU, Guan-Ming
    • H04N19/136H04N19/98H04N19/142H04N19/179H04N19/87
    • H04N19/136H04N19/142H04N19/179H04N19/87H04N19/98
    • Real-time forward reshaping, comprising selecting a statistical sliding window that indexes with the current frame, having also, a look-back frame and a look-ahead frame, determining whether they are part of the current scene, determining a noise parameter, a luma transfer function and a luma forward reshaping function based on the luma transfer function and the noise parameter within the current scene, selecting a central tendency sliding window of the current frame and the look-back frame within the current scene, and determining a central tendency luma forward reshaping function. The chroma reshaping comprises analyzing statistics for the extended dynamic range (EDR) weights and EDR upper bounds, mapping these to standard dynamic range (SDR) weights and SDR upper bounds based on the central tendency luma forward reshaping function, determining a chroma content-dependent polynomial and a central tendency chroma forward reshaping polynomial and generating chroma MMR coefficients.
    • 实时向前变形,包括选择与当前帧索引的统计滑动窗口,也具有回看帧和先行帧,确定它们是否是当前帧的一部分 场景,基于当前场景内的亮度传递函数和噪声参数来确定噪声参数,亮度传递函数和亮度向前变形函数,选择当前帧的中心倾向滑动窗口和 当前场景,并确定中心倾向亮度向前重塑功能。 色度重新整形包括分析扩展动态范围(EDR)权重和EDR上限的统计量,基于中心趋势亮度向前整形函数将它们映射到标准动态范围(SDR)权重和SDR上限,确定色度内容相关性 多项式和中心趋势色度正向重塑多项式并产生色度MMR系数。