公开(公告)号：US11503236B2

公开(公告)日：2022-11-15

申请号：US17132351

申请日：2020-12-23

申请人： Silicon Optronics, Inc.

发明人： Chun-Hung Lin

IPC分类号： H04N5/367 ,  H04N5/355 ,  H04N5/345

摘要： An image-sensing system for the efficient detection of defective pixels is shown. An arithmetic logic unit (ALU) determines a defective pixel candidate of an image sensor based on the first frame captured by the image sensor, performs a lower-part comparison on the defective pixel candidate based on the first frame, and performs an upper-part comparison on the defective pixel candidate based on the second frame captured by the image sensor. The defective pixel candidate is confirmed to be defective based on the first frame as well as the second frame. Only limited pixel data is buffered for the defective pixel detection.

公开(公告)号：US09549133B2

公开(公告)日：2017-01-17

申请号：US14703224

申请日：2015-05-04

申请人： Silicon Optronics, Inc.

发明人： Chun-Hung Lin

IPC分类号： H04N9/64 ,  H04N5/367

CPC分类号： H04N5/3675

摘要： An image capture device with a reduced number of line buffers. Based on an nth line of image data provided from an image sensor array and buffered data in the line buffers, a logic circuit determines defective candidates in an nth line of image data. When the (n+p)th line of image data is provided from the image sensor array, the logic circuit reexamines the defective candidates in the nth line of image data, for defective-pixel compensation, based on the (n+p)th line of image data and the buffered data in the plurality of line buffers. The buffered data in the line buffers contains the (n−p)th to (n−1)th lines of image data while the nth line of image data is provided from the image sensor array, and contains the nth to (n+p−1)th lines of image data while the (n+p)th line of image data is provided from the image sensor array.

摘要翻译： 具有减少行数缓冲器数量的图像捕获设备。 基于从图像传感器阵列提供的第n行图像数据和行缓冲器中的缓冲数据，逻辑电路确定第n行图像数据中的有缺陷的候选。 当从图像传感器阵列提供图像数据的第（n + p）行时，逻辑电路基于第（n + p）th重新检查图像数据的第n行中的缺陷候选，用于缺陷像素补偿 图像数据行和多个行缓冲器中的缓冲数据。 行缓冲器中的缓冲数据包含第（n-p）至第（n-1）行图像数据，而第n行图像数据从图像传感器阵列提供，并且包含第n至（n + p -1）的图像数据，而从图像传感器阵列提供图像数据的第（n + p）行。

公开(公告)号：US09508128B1

公开(公告)日：2016-11-29

申请号：US14832818

申请日：2015-08-21

申请人： Silicon Optronics, Inc.

发明人： Chun-Hung Lin

IPC分类号： G06T5/00

CPC分类号： G06T5/002 ,  G06T5/50

摘要： The present invention provides an image-correction system, including an image-capture module, a first calculation module, a second calculation module and an output module. The image-capture module obtains an input image and a guide image. The first calculation module obtains a first correction image according to a first parameter and a second parameter, obtains the first parameter according to the mean value of the guide image, a variance value of the guide image, a mean value of the input image and a smooth function, and obtains the second parameter according to the first parameter, the mean value of the guide image and the mean value of the input image. The second calculation module obtains the ratio value of the mean value of the guide image and the variance value of the guide image. The output module outputs the first correction image.

摘要翻译： 本发明提供一种图像校正系统，包括图像捕获模块，第一计算模块，第二计算模块和输出模块。 图像捕获模块获得输入图像和引导图像。 第一计算模块根据第一参数和第二参数获得第一校正图像，根据引导图像的平均值，引导图像的方差值，输入图像的平均值和 平滑功能，并根据第一个参数，引导图像的平均值和输入图像的平均值获得第二个参数。 第二计算模块获得引导图像的平均值和引导图像的方差值的比值。 输出模块输出第一个校正图像。

公开(公告)号：US10319077B2

公开(公告)日：2019-06-11

申请号：US15258307

申请日：2016-09-07

申请人： Silicon Optronics, Inc.

发明人： Chun-Hung Lin

IPC分类号： G06K9/40 ,  G06T5/00

摘要： An image processing method is provided. The method includes the steps of: receiving upper image data; calculating a first ratio using a target pixel and a plurality of first reference pixels in the upper image data; calculating a first diffusion coefficient according to the first ratio and a diffusion coefficient mapping equation; calculating a first pixel value of the target pixel according to the target pixel, the first reference pixels, and the first diffusion coefficient; receiving lower image data; calculating a second ratio using the target pixel and a plurality of second reference pixels in the lower image data, wherein the target pixel has the first pixel value; calculating a second diffusion coefficient according to the second ratio and the diffusion coefficient mapping equation; and calculating a second pixel value of the target pixel according to the target pixel, the second reference pixels, and the second diffusion coefficient.