Image processing device and method thereof
    1.
    发明申请
    Image processing device and method thereof 有权
    图像处理装置及其方法

    公开(公告)号:US20160300326A1

    公开(公告)日:2016-10-13

    申请号:US14972021

    申请日:2015-12-16

    Abstract: This invention discloses an image processing device and an image processing method. The image processing device includes a line buffer, a pixel enhancing module, a smoothing module, a noise reduction module and a contrast adjusting module. The line buffer stores a plurality of pixel values of an image. The pixel enhancing module performs an edge-enhancing operation on the image. The smoothing module filters the image to improve the image in terms of roughness. The noise reduction module filters the image to improve the image in terms of a signal-to-noise ratio. The contrast adjusting module checks whether a target pixel is on a thin edge to decide the method of adjusting the contrast of the image.

    Abstract translation: 本发明公开了一种图像处理装置和图像处理方法。 图像处理装置包括行缓冲器,像素增强模块,平滑模块,降噪模块和对比度调整模块。 行缓冲器存储图像的多个像素值。 像素增强模块对图像执行边缘增强操作。 平滑模块过滤图像以改善粗糙度方面的图像。 噪声降低模块根据信噪比对图像进行滤波以改善图像。 对比度调整模块检查目标像素是否在薄边缘上,以决定调整图像的对比度的方法。

    Image processing method based on sensor characteristics

    公开(公告)号:US20210144351A1

    公开(公告)日:2021-05-13

    申请号:US17092361

    申请日:2020-11-09

    Abstract: Disclosed is an image processing method based on sensor characteristics. The method includes the following steps: obtaining a constant of a relation “c≈σ(x)/√{square root over (x)}” between output signals “x” and the noise standard deviation “σ(x)” of the output signals, in which the output signals are outputted by a sensor based on a sensor gain such as an ISO value of a camera; and calculating an output value of a target pixel according to pixel values within a sampling window, the constant, and a front-end gain such as an auto exposure gain, in which the pixel values include an input value of the target pixel.

    False color removal method
    3.
    发明申请

    公开(公告)号:US20190147573A1

    公开(公告)日:2019-05-16

    申请号:US16185066

    申请日:2018-11-09

    Abstract: The present invention discloses a false color removal method comprising: receiving a current pixel including a first color value, a second color value and a third color value, in which the three color values are composed of a maximum value, a medium value and a minimum value; performing permutation to the maximum value, the medium value and the minimum value to obtain six permutation results; calculating six weighting values, in which a kth weighting value is calculated according to at least a kth permutation result of the six permutation results and the three color values, and the k stands for an integer-variable between one and six; calculating six products, in which a kth product is obtained by multiplying the kth weighting value by the kth permutation result; and using the sum of the six products to update the first, second and third color values.

    Method for determining filter coefficients
    4.
    发明申请

    公开(公告)号:US20200043152A1

    公开(公告)日:2020-02-06

    申请号:US16363472

    申请日:2019-03-25

    Abstract: Disclosed is a method for determining filter coefficients. The method includes: obtaining the coefficients of a target filter and calculating the response of the target filter; computing according to collected data and/or predetermined data in accordance with a first data pattern so as to have the response of a first filter approximate to the response of the target filter and thereby determine the coefficients of the first filter; and computing according to the collected data and/or the predetermined data in accordance with a second data pattern so as to have the response of a second filter approximate to the response of the target filter and thereby determine the coefficients of the second filter. Accordingly, the difference between the responses of the first filter and the second filter is insignificant and results in less negative influence; and the first and the second filters can replace the target filter to reduce cost.

    Image data augmentation apparatus and method

    公开(公告)号:US20230138412A1

    公开(公告)日:2023-05-04

    申请号:US17741177

    申请日:2022-05-10

    Abstract: The present invention discloses an image data augmentation method that includes the steps outlined below. At least one distortion operation function is retrieved. A plurality of pixels included in the image are twisted according to the distortion operation function to generate at least one augmented image. Object information of each of at least one object included in the image is converted according to the distortion operation function to generate object information conversion result. The augmented image, a class tag of each of the at least one object and the object information conversion result are fed to a machine learning module to generate a machine learning result.

    Method for determining coefficients of deblur filter

    公开(公告)号:US20230111942A1

    公开(公告)日:2023-04-13

    申请号:US17955771

    申请日:2022-09-29

    Abstract: A method for determining deblur filter coefficients includes the following steps: generating an edge profile according to the data of a blurred image; estimating a blur kernel according to the edge profile, wherein the blur kernel indicates how an imaging process blurs original image data and thereby generates blurred image data; and determining coefficients of a deblur filter to make a process result of the deblur filter processing the blurred image data approach the original image data.

    PIXEL VALUE CALIBRATION METHOD AND PIXEL VALUE CALIBRATION DEVICE

    公开(公告)号:US20210227189A1

    公开(公告)日:2021-07-22

    申请号:US17147229

    申请日:2021-01-12

    Abstract: A pixel value calibration method includes: obtaining input image data generated by pixels, the input image data including a first group of pixel values in a first color plane and a second group of pixel values in a second color plane, generated by a first portion and a second portion of the pixels respectively; determining a difference function associated with filter response values and target values, the filter response values being generated by utilizing characteristic filter coefficients to filter first and second estimated pixel values of estimated pixel data in the first and second color planes, respectively; determining a set of calibration filter coefficients by calculating a solution of the estimated pixel data, the solution resulting in a minimum value of the difference function; and filtering the input image data, by a filter circuit using the set of calibration filter coefficients, to calibrate the first group of pixel values.

    Color reconstruction device and method
    8.
    发明申请

    公开(公告)号:US20200059634A1

    公开(公告)日:2020-02-20

    申请号:US16502481

    申请日:2019-07-03

    Abstract: Disclosed are a color reconstruction device and method capable of accurately recovering the missing color of a target pixel. The device includes: a direction-characteristic estimation circuit calculating a horizontal-variation characteristic and a vertical-variation characteristic according to a first color of a target pixel and the values of pixels within a reference range, in which the target pixel is in the reference range and a current value of the target pixel is a first color value; an edge-texture decision circuit determining which of N predetermined relations matches the relation between the horizontal-variation characteristic and the vertical-variation characteristic and thereby determining the directional characteristic of the target pixel, in which the N is not less than four; and a color recovery circuit calculating a second and a third color values of the target pixel according to the directional characteristic and the values of the pixels within the reference range.

    White balance adjusting method with scene detection and device thereof
    9.
    发明申请
    White balance adjusting method with scene detection and device thereof 有权
    具有场景检测的白平衡调整方法及其装置

    公开(公告)号:US20140192222A1

    公开(公告)日:2014-07-10

    申请号:US14069132

    申请日:2013-10-31

    CPC classification number: H04N9/735 G06T7/90 H04N5/2254 H04N5/235 H04N5/2354

    Abstract: A white balance adjusting method with scene detection comprises: receiving source image data corresponding to a plurality of sensing units; generating an initial white balance gain according to the source image data; generating an image parameter corresponding to a plurality of parameter elements according to the source image data; determining whether a preset condition is satisfied according to the image parameter to generate a decision result; determining whether the source image data are associated with any of built-in scenes according to the decision result in which the built-in scenes include a first scene in connection with a first-scene adjustment rule; and if the source image data are associated with the first scene, adjusting the initial white balance gain or processing the source image data according to the first-scene adjustment rule to thereby obtain a scenic white balance gain and adjust the source image data with it.

    Abstract translation: 具有场景检测的白平衡调整方法包括:接收与多个感测单元对应的源图像数据; 根据源图像数据产生初始白平衡增益; 根据源图像数据生成对应于多个参数元素的图像参数; 根据图像参数确定是否满足预设条件以产生判定结果; 根据决定结果确定源图像数据是否与任何内置场景相关联,其中内置场景包括与第一场景调整规则有关的第一场景; 并且如果源图像数据与第一场景相关联,则根据第一场景调整规则调整初始白平衡增益或处理源图像数据,从而获得景区白平衡增益,并利用它调整源图像数据。

Patent Agency Ranking