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    • 11. 发明公开
    • IMAGE PROCESSING METHOD AND APPARATUS
    • 图像处理方法和设备
    • EP3067862A3
    • 2016-10-05
    • EP16158465.1
    • 2016-03-03
    • Huawei Technologies Co., Ltd.
    • SHEN, YanhaoZHAO, YinLI, Mengjian
    • G06T7/00
    • H04N9/76G06T7/12G06T7/194H04N9/77
    • Embodiments of the present invention provide an image processing method and apparatus, where the method includes: determining m boundary points of a target image; acquiring a color component of a non-boundary point in a j th area, where the j th area is a neighborhood of the j th boundary point in the m boundary points, 1≤j≤m, and m is a positive integer greater than or equal to 1; and performing synthesis processing according to the color component of the non-boundary point in the j th area, to obtain a color component of the j th boundary point. According to the embodiments of the present invention, by means of processing on a boundary point of a target image, precision of image matting and synthesis processing can be improved, and the embodiments of the present invention can be applied to a real-time image matting and synthesis process.
    • 本发明实施例提供一种图像处理方法和装置,该方法包括:确定目标图像的m个边界点; 获取第j个区域中的非边界点的颜色分量,其中,第j个区域为m个边界点中第j个边界点的邻域,1≤j≤m,m为大于或等于 1; 根据第j个区域中的非边界点的颜色分量进行合成处理,得到第j个边界点的颜色分量。 根据本发明的实施例,通过对目标图像的边界点进行处理,可以提高图像抠合和合成处理的精度,并且本发明的实施例可以应用于实时图像抠像 和合成过程。
    • 15. 发明公开
    • INTRA FRAME PREDICTION METHOD AND DEVICE
    • EP4210327A1
    • 2023-07-12
    • EP21871636.3
    • 2021-09-26
    • Huawei Technologies Co., Ltd.
    • YANG, HaitaoSONG, NanCHEN, XuMA, XiangCHEN, HuanbangZHAO, Yin
    • H04N19/11
    • This application provides an intra prediction method and an apparatus. This application relates to the field of artificial intelligence (AI)-based video or picture compression technologies, and in particular, to the field of neural network-based video compression technologies. The method includes: obtaining respective intra prediction modes or texture distributions of P reconstructed picture blocks in a surrounding region of a current block; obtaining, based on the respective intra prediction modes or texture distributions of the P reconstructed picture blocks, Q priori candidate intra prediction modes of the current block and Q probability values; obtaining, based on M probability values corresponding to M priori candidate intra prediction modes, M weighting factors corresponding to the M priori candidate intra prediction modes; separately performing intra prediction based on the M priori candidate intra prediction modes to obtain M predicted values; and obtaining a predicted value of the current block based on a weighted summation of the M predicted values and the corresponding M weighting factors. This application can improve accuracy of intra prediction, reduce an error of intra prediction, and improve RDO efficiency of intra prediction.
    • 16. 发明公开
    • CHROMA BLOCK PREDICTION METHOD AND DEVICE
    • EP3907995A1
    • 2021-11-10
    • EP19907227.3
    • 2019-12-10
    • Huawei Technologies Co., Ltd.
    • MA, XiangMU, FanZHAO, YinYANG, Haitao
    • H04N19/182H04N19/593H04N19/186
    • This application provides a chroma block prediction method and apparatus, and pertains to the field of video encoding and decoding technologies. The method includes: obtaining chroma values of chroma samples at preset locations from neighboring samples of a chroma block; obtaining, based on neighboring samples of a luma block corresponding to the chroma block, luma values of luma samples corresponding to the chroma samples; classifying the obtained luma values into a first luma set and a second luma set; grouping the chroma values into a first chroma set and a second chroma set; determining a scaling coefficient in a linear model based on an average value of luma values in the first luma set, an average value of luma values in the second luma set, an average value of chroma values in the first chroma set, and an average value of chroma values in the second chroma set; determining, based on the scaling coefficient, an offset factor in a linear model corresponding to the chroma block; and determining prediction information of the chroma block based on the scaling coefficient, the offset factor, and luma reconstruction information corresponding to the chroma block. In this way, chroma block prediction efficiency can be improved.