Image processing method and apparatus for adjusting a dynamic range of an image

    公开(公告)号:US11030729B2

    公开(公告)日:2021-06-08

    申请号:US16281606

    申请日:2019-02-21

    Abstract: An image processing method and apparatus, where the method includes determining a maximum value in nonlinear primary color values of all components of each pixel of a first to-be-processed image, determining dynamic parameters of a first transfer function, converting the maximum value of each pixel into a transfer value based on the first transfer function for which the dynamic parameters are determined, calculating a ratio between the transfer value and the maximum value of each pixel, and adjusting a dynamic range for the nonlinear primary color values of all the components of each pixel based on the ratio to obtain nonlinear primary color values of all components of each corresponding pixel of a first target image.

    Image processing method and apparatus

    公开(公告)号:US10963996B2

    公开(公告)日:2021-03-30

    申请号:US16282061

    申请日:2019-02-21

    Abstract: An image processing method and apparatus are disclosed, to improve quality of an image on which color processing is performed. The method includes: determining color values of N color components of each pixel of a to-be-processed image, where N is a natural number greater than 1; determining N ratios of a luminance value of each pixel to the color values of the N color components; determining N first color adjustment coefficients based on the N ratios; and performing color processing on each pixel based on the N first color adjustment coefficients and the color values of the N color components to obtain a target image.

    Image encoding method, image decoding method, encoding device, and decoding device

    公开(公告)号:US10609389B2

    公开(公告)日:2020-03-31

    申请号:US15836827

    申请日:2017-12-09

    Abstract: Embodiments of the present disclosure provide an image encoding method, an image decoding method, an encoding device, and a decoding device. The method includes: determining a conversion function parameter of a current image block; determining a conversion function parameter of a neighboring image block corresponding to the current image block; determining, according to a correlation between the conversion function parameter of the current image block and the conversion function parameter of the neighboring image block, whether to perform merge encoding on the conversion function parameter of the current image block and the conversion function parameter of the neighboring image block, and determining a first indicator, where the first indicator is used to indicate whether to perform merge encoding on the conversion function parameter of the current image block and the conversion function parameter of the neighboring image block; and encoding the first indicator.

    Temporal noise reduction method for noisy image and related apparatus

    公开(公告)号:US09721330B2

    公开(公告)日:2017-08-01

    申请号:US15143190

    申请日:2016-04-29

    Abstract: Determining of still/movement may be performed with reference to quantization noise of a first section to which a first pixel belongs, and for different results of determining of whether the first pixel is in a movement area or a still area, different frame difference thresholds applicable to the movement area and the still area are separately set, and different frame difference calculation manners are used, different blending coefficients applicable to the movement area and the still area are selected according to the different frame difference thresholds applicable to the movement area and the still area and the frame difference calculation manners, and a noise reduction blending manner is selected according to the different blending coefficients applicable to the movement area and the still area, the frame difference calculation manners, and a pixel value of the first pixel in a current frame.

    Image Processing Method and Apparatus
    6.
    发明申请
    Image Processing Method and Apparatus 有权
    图像处理方法和装置

    公开(公告)号:US20150195441A1

    公开(公告)日:2015-07-09

    申请号:US14663891

    申请日:2015-03-20

    Inventor: Hai Chen Yan Zhang

    Abstract: An image processing method and apparatus are provided. The image processing method includes collecting at least two exposure frames with different brightness in a same scene during different exposure time; combining, for each exposure frame, a raw data unit arranged repeatedly in the exposure frame to obtain first brightness data after the combining; acquiring a correction parameter of all exposure frames according to all first brightness data and performing weighting processing on all the exposure frames by using the correction parameter to obtain a high dynamic range (HDR) image of corrected raw data. The foregoing method can resolve a problem in the prior art that colors, brightness, and contrast of an image obtained from Raw data are severely distorted.

    Abstract translation: 提供了一种图像处理方法和装置。 图像处理方法包括在不同的曝光时间期间在相同场景中收集具有不同亮度的至少两个曝光帧; 对于每个曝光帧组合在曝光帧中重复布置的原始数据单元,以获得组合之后的第一亮度数据; 根据所有第一亮度数据获取所有曝光帧的校正参数,并通过使用校正参数对所有曝光帧执行加权处理,以获得校正的原始数据的高动态范围(HDR)图像。 上述方法可以解决现有技术中由Raw数据获得的图像的颜色,亮度和对比度严重失真的问题。

    Method and Apparatus for Correcting Multi-Exposure Motion Image
    7.
    发明申请
    Method and Apparatus for Correcting Multi-Exposure Motion Image 有权
    用于校正多曝光运动图像的方法和装置

    公开(公告)号:US20150116513A1

    公开(公告)日:2015-04-30

    申请号:US14585604

    申请日:2014-12-30

    Inventor: Hai Chen Meijun Wan

    Abstract: A method and an apparatus for correcting a multi-exposure motion image are disclosed, where the method includes determining a luminance mapping function, where the luminance mapping function is a luminance mapping relationship between a reference frame and multiple extended frames; mapping a luminance of an extended frame by using the luminance mapping relationship to obtain a virtual frame; calculating a global motion vector between the virtual frame and the reference frame; correcting a pixel of the extended frame according to the global motion vector to obtain a first extended frame after correction; detecting a pixel of the first extended frame according to the reference frame to obtain a local error pixel of the first extended frame; and correcting a luminance of the local error pixel of the first extended frame to obtain a second extended frame after correction.

    Abstract translation: 公开了一种用于校正多曝光运动图像的方法和装置,其中所述方法包括确定亮度映射函数,其中亮度映射函数是参考帧与多个扩展帧之间的亮度映射关系; 通过使用亮度映射关系映射扩展帧的亮度以获得虚拟帧; 计算虚拟帧和参考帧之间的全局运动矢量; 根据全局运动矢量校正扩展帧的像素,以获得校正后的第一延伸帧; 根据参考帧检测第一扩展帧的像素以获得第一扩展帧的局部误差像素; 以及校正所述第一扩展帧的所述局部误差像素的亮度以在校正之后获得第二延伸帧。

    SUPER-RESOLUTION METHOD AND APPARATUS FOR VIDEO IMAGE
    8.
    发明申请
    SUPER-RESOLUTION METHOD AND APPARATUS FOR VIDEO IMAGE 有权
    超分辨率方法和视频图像的设备

    公开(公告)号:US20140072232A1

    公开(公告)日:2014-03-13

    申请号:US14016705

    申请日:2013-09-03

    CPC classification number: G06T3/4053

    Abstract: A super-resolution method and apparatus for a video image are disclosed. The method includes performing super-resolution processing based on fuzzy motion estimation by integral multiple times on an original low-resolution video image, to obtain an intermediate high-resolution video image. When resolution of the intermediate high-resolution video image is different from resolution of a target high-resolution video image, a non-integral multiple between the resolution of the target high-resolution video image and the resolution of the intermediate high-resolution video image is calculated. Super-resolution processing based on interpolation by the non-integral is performed multiple times on the intermediate high-resolution video image, to obtain the target high-resolution video image.

    Abstract translation: 公开了一种用于视频图像的超分辨率方法和装置。 该方法包括在原始低分辨率视频图像上基于模糊运动估计多次进行超分辨率处理,以获得中间高分辨率视频图像。 当中间高分辨率视频图像的分辨率与目标高分辨率视频图像的分辨率不同时,目标高分辨率视频图像的分辨率与中间高分辨率视频图像的分辨率之间的非整数倍 被计算。 在中间高分辨率视频图像上多次执行基于非积分的内插的超分辨率处理,以获得目标高分辨率视频图像。

    MATRIX PROCESSING METHOD AND APPARATUS, AND LOGIC CIRCUIT

    公开(公告)号:US20220114235A1

    公开(公告)日:2022-04-14

    申请号:US17560472

    申请日:2021-12-23

    Abstract: A matrix processing method performed by a graphics processing unit (GPU) includes: determining a plurality of non-zero elements in a to-be-processed matrix at a processor in the GPU; generating a distribution matrix of the to-be-processed matrix at the processor, where the distribution matrix comprises identities for indicating positions of the plurality of non-zero elements in the to-be-processed matrix; obtaining a target matrix from another matrix by using the distribution matrix at a logic circuit in the processor, where the target matrix comprises a plurality of target elements from the another matrix; and performing matrix processing on the plurality of non-zero elements and the target matrix to obtain an operation result at the processor.

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