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    • 40. 发明申请
    • HIGH DYNAMIC RANGE SUB-SAMPLING ARCHITECTURE
    • 高动态范围子采样架构
    • US20130088624A1
    • 2013-04-11
    • US13365766
    • 2012-02-03
    • Yaowu MoChen XuMin QuXiaodong LuoDonghui Wu
    • Yaowu MoChen XuMin QuXiaodong LuoDonghui Wu
    • H04N5/335
    • H04N5/347H04N5/3532H04N5/355H04N5/3745H04N5/378
    • A method of implementing high dynamic range bin algorithm in an image sensor including a pixel array with a first super row having a first integration time and a second super row having a second integration time is described. The method starts by reading out image data from the first super row into a counter. Image data from the first super row is multiplied by a factor to obtain multiplied data. The factor is a ratio between the first and the second integration times. The multiplied data is then compared with a predetermined data. The image data from the second super row is readout into the counter. If the multiplied data is larger than the predetermined data, the multiplied data from the first super row is stored in the counter. If not, the image data from the second super row is stored. Other embodiments are also described.
    • 描述了在包括具有第一积分时间的第一超级行的像素阵列和具有第二积分时间的第二超级行的图像传感器中实现高动态范围bin算法的方法。 该方法从将第一超级行的图像数据读出到计数器开始。 来自第一超级行的图像数据乘以因子以获得相乘的数据。 因子是第一和第二积分时间之间的比率。 然后将相乘的数据与预定数据进行比较。 来自第二超级行的图像数据被读出到计数器中。 如果相乘数据大于预定数据,则来自第一超级行的相乘数据被存储在计数器中。 如果没有,则存储来自第二超级行的图像数据。 还描述了其它实施例。