公开(公告)号：US20130329098A1

公开(公告)日：2013-12-12

申请号：US13724574

申请日：2012-12-21

Applicant: APPLE INC.

Inventor： Suk Hwan Lim ,  Christopher L. Mills ,  Sheng Lin

IPC: H04N9/64

CPC classification number: H04N9/64 ,  H04N5/142 ,  H04N5/23229 ,  H04N5/23254 ,  H04N5/365 ,  H04N5/367 ,  H04N9/045 ,  H04N9/735

Abstract: The present disclosure generally relates to systems and methods for image data processing. In certain embodiments, an image processing pipeline may detect and correct a defective pixel of image data acquired using an image sensor. The image processing pipeline may receive an input pixel of the image data acquired using the image sensor. The image processing pipeline may then identify a set of neighboring pixels having the same color component as the input pixel and remove two neighboring pixels from the set of neighboring pixels thereby generating a modified set of neighboring pixels. Here, the two neighboring pixels correspond to a maximum pixel value and a minimum pixel value of the set of neighboring pixels. The image processing pipeline may then determine a gradient for each neighboring pixel in the modified set of neighboring pixels and determine whether the input pixel includes a dynamic defect or a speckle based at least in part on the gradient for each neighboring pixel in the modified set of neighboring pixels.

Abstract translation: 本公开通常涉及用于图像数据处理的系统和方法。 在某些实施例中，图像处理流水线可以检测和校正使用图像传感器获取的图像数据的缺陷像素。 图像处理流水线可以接收使用图像传感器获取的图像数据的输入像素。 然后，图像处理流水线可以识别具有与输入像素相同颜色分​​量的一组相邻像素，并从相邻像素组中移除两个相邻像素，从而生成修改后的相邻像素集合。 这里，两个相邻像素对应于该组相邻像素的最大像素值和最小像素值。 然后，图像处理流水线可以确定相邻像素的修改集合中的每个相邻像素的梯度，并且确定输入像素是否至少部分地基于修改的集合中的每个相邻像素的梯度的动态缺陷或散斑 相邻像素。