公开(公告)号：US09686448B2

公开(公告)日：2017-06-20

申请号：US14836586

申请日：2015-08-26

Applicant: Apple Inc.

Inventor： Touraj Tajbakhsh ,  Kostadin N. Dabov

IPC: H04N9/64 ,  H04N5/16 ,  H04N9/71 ,  H04N5/361

CPC classification number: H04N5/165 ,  H04N5/361 ,  H04N9/646 ,  H04N9/71

Abstract: Methods and systems to improve the operation of graphic's system are described. In general, techniques are disclosed for compensating for an image sensor's non-zero black-level output. More particularly, a image sensor noise model may be used to offset an image's signal prior to clipping so that the image's dark signal exhibits a linear or near linear mean characteristic after clipping. In one implementation the noise model may be based on calibration or characterization of the image sensor prior to image capture. In another implementation the noise model may be based on an evaluation of the image itself during image capture operations. In yet another implementation the noise model may be based on analysis of an image post-capture (e.g., hours, days, . . . after initial image capture).

公开(公告)号：US20160373618A1

公开(公告)日：2016-12-22

申请号：US14836586

申请日：2015-08-26

Applicant: Apple Inc.

Inventor： Touraj Tajbakhsh ,  Kostadin N. Dabov

IPC: H04N5/16 ,  H04N9/71 ,  H04N9/64

CPC classification number: H04N5/165 ,  H04N5/361 ,  H04N9/646 ,  H04N9/71

Abstract: Methods and systems to improve the operation of graphic's system are described. In general, techniques are disclosed for compensating for an image sensor's non-zero black-level output. More particularly, a image sensor noise model may be used to offset an image's signal prior to clipping so that the image's dark signal exhibits a linear or near linear mean characteristic after clipping. In one implementation the noise model may be based on calibration or characterization of the image sensor prior to image capture. In another implementation the noise model may be based on an evaluation of the image itself during image capture operations. In yet another implementation the noise model may be based on analysis of an image post-capture (e.g., hours, days, . . . after initial image capture).

Abstract translation: 描述了改进图形系统操作的方法和系统。 通常，公开了用于补偿图像传感器的非零黑电平输出的技术。 更具体地，可以使用图像传感器噪声模型来在削波之前偏移图像的信号，使得图像的暗信号在削波之后呈现线性或近似线性的平均特性。 在一个实现中，噪声模型可以基于在图像捕获之前的图像传感器的校准或表征。 在另一实现中，噪声模型可以基于在图像捕获操作期间对图像本身的评估。 在又一实现中，噪声模型可以基于后捕获图像的分析（例如，在初始图像捕获之后的小时，天数，...）。