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    • 42. 发明申请
    • OPTIMIZING DECODED HIGH DYNAMIC RANGE IMAGE SATURATION
    • WO2018202744A1
    • 2018-11-08
    • PCT/EP2018/061280
    • 2018-05-03
    • KONINKLIJKE PHILIPS N.V.
    • TICHELAAR, Johannes YzebrandMERTENS, Mark Jozef WillemVAN MOURIK, Johannes Gerardus Rijk
    • G06T5/00H04N19/85H04N19/98
    • To enable better color and in particular color saturation control for HDR image handling systems which need to do luminance dynamic range conversion, e.g. from a SDR image to an image optimized for rendering on a display of higher display peak brightness and dynamic range, the inventors invented an apparatus (400) for processing a color saturation (C'bL, C'rL) of an input color (Y'L, C'bL, C'rL) of an input image (Im RLDR) to yield an output color (Y'M, Cb'M, Cr'M) of an output image (Im3000nit) corresponding to the input image, which output image is a re-grading of the input image characterized by the fact that its pixel colors have a different normalized luminance position (Y2) compared to the normalized luminance positions of the input colors (Yl), the normalized luminances being defined as the luminance of a pixel divided by the respective maximal codeable luminance of the image's luminance representation, whereby the ratio of the maximum codeable luminance of the input image and the maximum codeable luminance of the output image is at least 4 or larger, or 1/4 th or smaller, the apparatus comprising a luminance processor (401) arranged to apply a display tuned luminance mapping function (F_L_da) to determine an output luminance (Y'M) from the input luminance (Y'L) of the input color, the apparatus further comprising a saturation factor determination unit (402) arranged to calculate a final saturation processing strategy (b; Bcorr) based on an initial saturation processing strategy (F _sat) and based on a secondary luminance value (Y'_H) which is derivable from the output luminance (Y'M) by applying a luminance mapping function (F M2H) which is based on the luminance mapping function (F_L_s2h).
    • 45. 发明申请
    • SIGNAL RESHAPING FOR HIGH DYNAMIC RANGE SIGNALS
    • 高动态范围信号的信号重构
    • WO2017024042A3
    • 2017-03-09
    • PCT/US2016045362
    • 2016-08-03
    • DOLBY LABORATORIES LICENSING CORP
    • ATKINS ROBINYIN PENGLU TAORANPUTLARZ JACLYN ANNE
    • H04N19/46H04N19/117H04N19/186H04N19/85H04N19/98
    • H04N19/85G09G2340/06H04N19/46H04N19/98
    • In a method to improve backwards compatibility when decoding high-dynamic range images coded in a wide color gamut (WCG) space which may not be compatible with legacy color spaces, hue and/or saturation values of images in an image database are computed for both a legacy color space (say, YCbCr-gamma) and a preferred WCG color space (say, IPT-PQ). Based on a cost function, a reshaped color space is computed so that the distance between the hue values in the legacy color space and rotated hue values in the preferred color space is minimized. HDR images are coded in the reshaped color space. Legacy devices can still decode standard dynamic range images assuming they are coded in the legacy color space, while updated devices can use color reshaping information to decode HDR images in the preferred color space at full dynamic range.
    • 在对可能与传统色彩空间不兼容的宽色域(WCG)空间中编码的高动态范围图像进行解码时改善向后兼容性的方法中,计算图像数据库中图像的色调和/或饱和度值 传统色彩空间(比如YCbCr-gamma)和优选的WCG色彩空间(比如说IPT-PQ)。 基于成本函数,计算重塑的颜色空间,使得传统颜色空间中的色调值与优选颜色空间中旋转的色调值之间的距离最小化。 HDR图像在重新变形的色彩空间中编码。 传统设备仍然可以解码标准动态范围图像,假设它们在传统色彩空间中编码,而更新的设备可以使用色彩整形信息在全动态范围内解码首选色彩空间中的HDR图像。
    • 46. 发明申请
    • REAL-TIME CONTENT-ADAPTIVE PERCEPTUAL QUANTIZER FOR HIGH DYNAMIC RANGE IMAGES
    • 用于高动态范围图像的实时内容自适应量化器
    • WO2017003525A1
    • 2017-01-05
    • PCT/US2016/020232
    • 2016-03-01
    • DOLBY LABORATORIES LICENSING CORPORATION
    • SU, Guan-Ming
    • H04N19/136H04N19/98
    • H04N19/124H04N19/136H04N19/186H04N19/98
    • Noise levels in pre-reshaped codewords of a pre-reshaped bit depth in pre-reshaped images within a time window of a scene are calculated. Per-bin minimal bit depth values are computed for pre-reshaped codeword bins based on the calculated noise levels in the pre-reshaped codewords. Each per-bin minimal bit depth value corresponds to a minimal bit depth value for a respective pre-reshaped codeword bin. A specific codeword mapping function for a specific pre-reshaped image in the pre-reshaped image is generated based on the pre-reshaped bit depth, the per-bin minimal bit depth values, and a target bit depth smaller than the pre-reshaped bit depth. The specific codeword mapping function is applied to specific pre-reshaped codewords of the specific pre-reshaped image to generate specific target codewords of the target bit depth for a specific output image.
    • 计算在场景的时间窗内的预重组图像中的预重新形成的位深度的预重新定标码字中的噪声水平。 基于预重新定标码字中计算出的噪声电平,为预重新形成的码字箱计算每位最小位深度值。 每个每个最小位深度值对应于相应的预重新形成的码字仓的最小位深度值。 基于预重新形成的比特深度,每个最小比特深度值和比预分解比特的目标比特深度生成用于预重新映像的特定预重新映像的特定码字映射功能 深度。 特定码字映射函数被应用于特定预重新映象图像的特定预重新映射码字,以产生特定输出图像的目标比特深度的特定目标码字。