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公开(公告)号:US10419762B2
公开(公告)日:2019-09-17
申请号:US15555047
申请日:2016-03-01
发明人: Jan Froehlich , Guan-Ming Su , Robin Atkins , Scott Daly , Jon Scott Miller
IPC分类号: H04N19/124 , H04N19/136 , H04N19/98 , H04N19/117 , H04N19/132 , H04N19/156 , H04N19/182 , H04N19/154
摘要: A content-adaptive quantizer processor receives an input image with an input bit depth. A noise-mask generation process is applied to the input image to generate a noise mask image which characterizes each pixel in the input image in terms of its perceptual relevance in masking quantization noise. A noise mask histogram is generated based on the input image and the noise mask image. A masking-noise level to bit-depth function is applied to the noise mask histogram to generate minimal bit depth values for each bin in the noise mask histogram. A codeword mapping function is generated based on the input bit depth, a target bit depth, and the minimal bit depth values. The codeword mapping function is applied to the input image to generate an output image in the target bit depth.
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公开(公告)号:US10979601B2
公开(公告)日:2021-04-13
申请号:US16091176
申请日:2017-03-31
发明人: Jan Froehlich , Robin Atkins
IPC分类号: H04N1/60
摘要: Methods and systems for gamut mapping are disclosed. Pixels of an image or points of a look-up-table can be gamut mapped in a multi-step iterative process, by generating a coarse gamut hull and calculating a value of a distance metric for out-of-gamut pixels or LUT points, and subsequently generating a fine gamut hull in the neighborhood of the coarse gamut hull points closest to the out-of-gamut pixel or LUT points under consideration. The out-of-gamut pixel or LUT point is gamut mapped based on the smallest distance metric value calculated.
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公开(公告)号:US09936199B2
公开(公告)日:2018-04-03
申请号:US15513928
申请日:2015-09-24
发明人: Jan Froehlich , Robin Atkins , Qiuwei Wang , Guan-Ming Su , Peng Yin
IPC分类号: H04N19/186 , H04N19/124 , H04N9/67
CPC分类号: H04N19/124 , H04N9/67 , H04N9/68 , H04N19/186 , H04N19/60 , H04N19/85
摘要: Compared to traditional gamma-coded video, perceptually quantized video provides greater flexibility for the transmission and display management of high-dynamic range video, but it does not compresses as efficiently using existing standard codecs. Techniques are described to improve the coding efficiency of perceptually coded video by applying a color cross-talk transformation after the RGB/XYZ to LMS transformation. Such a transform increases luma and chroma correlation for color appearance models, but improves perceptual uniformity and overall coding efficiency for wide color gamut, HDR, signals.
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