Method of correcting color fringe and method of processing image data using the same

    公开(公告)号:US10535126B2

    公开(公告)日:2020-01-14

    申请号:US15288482

    申请日:2016-10-07

    Abstract: A color fringe is corrected by detecting a transition region that includes pixels adjacent in a linear direction. A color difference distribution in the transition region is modeled by a logistic function. Pixel color values in the transition region are corrected using the logistic function to maximize a correlation between a correction color and a reference color with respect to the transition region. Color distortion such as color fringes is corrected without corrupting the original colors of the image by modeling the color difference by the logistic function while maximizing the correlation using information of the undistorted region. A calculation cost is reduced by reducing the number of the parameters required to optimize the logistic function.

    Method of correcting saturated pixel data and method of processing image data using the same
    2.
    发明授权
    Method of correcting saturated pixel data and method of processing image data using the same 有权
    修正饱和像素数据的方法和使用该图像数据处理图像数据的方法

    公开(公告)号:US09294688B2

    公开(公告)日:2016-03-22

    申请号:US14250537

    申请日:2014-04-11

    CPC classification number: H04N5/243 H04N9/045

    Abstract: Methods of correcting saturated pixel data in an image sensor are provided. A method of correcting saturated pixel data in an image sensor includes determining a weight function. The weight function indicates a correlation between color values of saturated pixels and color values of neighboring pixels. The saturated pixels are among a plurality of pixels which have a color value greater than a saturation threshold value. The neighboring pixels are among the plurality of pixels that are proximate to each of the saturated pixels. The method includes determining weight values of a neighboring pixels that are proximate to a first saturated pixel using the weight function. The method includes determining a weighted average value of the color values of each of the neighboring pixels using the weight values. The method includes correcting the color value of the first saturated pixel to the weighted average value.

    Abstract translation: 提供了校正图像传感器中的饱和像素数据的方法。 校正图像传感器中的饱和像素数据的方法包括确定权重函数。 权重函数表示饱和像素的颜色值和相邻像素的颜色值之间的相关性。 饱和像素在具有大于饱和阈值的颜色值的多个像素之中。 相邻像素在接近每个饱和像素的多个像素之中。 该方法包括使用权重函数来确定邻近第一饱和像素的相邻像素的权重值。 该方法包括使用权重值来确定每个相邻像素的颜色值的加权平均值。 该方法包括将第一饱和像素的颜色值校正为加权平均值。

    Image processing device that removes haze from image

    公开(公告)号:US10002412B2

    公开(公告)日:2018-06-19

    申请号:US15295724

    申请日:2016-10-17

    Abstract: A device for removing haze from an image includes an image decomposer that decomposes a near-infrared (NIR) image to generate an NIR detail layer image and decomposes an RGB image to generate an RGB detail layer image and an RGB base layer image, a weight generator that generates a mixing weight value based on a similarity between high frequency (HF) components of the NIR image and the RGB image, a detail layer mixer that mixes the NIR detail layer image and the RGB detail layer image based on the mixing weight value to generate a mixed RGB detail layer image, a base layer dehazer that removes haze from the RGB base layer image to generate a compensated RGB base layer image, and an adder that adds the mixed RGB detail layer image and the compensated RGB base layer image to generate an output RGB image.

    Image haze removing apparatus and method of removing image haze

    公开(公告)号:US10127638B2

    公开(公告)日:2018-11-13

    申请号:US15262408

    申请日:2016-09-12

    Abstract: An image haze removing apparatus includes at least a transmission coefficient generator, a low pass filter, a particle size parameter estimator, a transmission coefficient divider and a real image estimator. The transmission coefficient generator generates a transmission coefficient based on a captured image. The low pass filter outputs a low frequency image, which includes a low frequency component of the captured image. The particle size parameter estimator estimates a particle size parameter based on the low frequency image. The transmission coefficient divider divides the transmission coefficient based on the particle size parameter to generate first to third divided transmission coefficients, which correspond to red, green and blue data of the captured image, respectively. The real image estimator estimates a real image by applying the first to third divided transmission coefficients to the red, green and blue data of the captured image, respectively.

    Image processing devices for suppressing color fringe, and image sensor modules and electronic devices including the same
    6.
    发明授权
    Image processing devices for suppressing color fringe, and image sensor modules and electronic devices including the same 有权
    用于抑制彩色条纹的图像处理装置,图像传感器模块和包括其的电子装置

    公开(公告)号:US09538076B2

    公开(公告)日:2017-01-03

    申请号:US14741599

    申请日:2015-06-17

    CPC classification number: H04N5/23229 G06T5/006 G06T2207/10024 H04N9/045

    Abstract: In an image processing device, a color transformation circuit is configured to generate a color difference based on a first image of normal exposure and a second image of under exposure. A color fringe detection circuit is configured to detect color fringe in the first image, and to generate color fringe detection information based on the detected color fringe. A weight map formation circuit is configured to generate a weight map based on the color fringe detection information and the color difference. An image fusion circuit is configured to generate a third image, in which the detected color fringe is suppressed, based on the color difference and the weight map.

    Abstract translation: 在图像处理装置中,颜色变换电路被配置为基于正常曝光的第一图像和下曝光的第二图像来生成色差。 彩色条纹检测电路被配置为检测第一图像中的颜色条纹,并且基于检测到的颜色条纹来生成颜色条纹检测信息。 重量映射形成电路被配置为基于颜色条纹检测信息和色差生成权重映射。 图像融合电路被配置为基于色差和权重映射来生成其中检测到的颜色边缘被抑制的第三图像。

Patent Agency Ranking