公开(公告)号：US20130129204A1

公开(公告)日：2013-05-23

申请号：US13743893

申请日：2013-01-17

Applicant: APPLE INC.

Inventor： Graham D. Finlayson ,  Clement Fredembach

IPC: G06T5/50

CPC classification number: G06T5/50 ,  G06T7/90 ,  G06T7/97

Abstract: In a method of chromagenic illuminant estimation pixels from mutually-corresponding images with different filtering are compared, a fraction of the brightest pixels being selected for a subsequent chromagenic estimation. The pixels may be at corresponding locations or they may correspond in that their mean brightness is in the same rank order. In one method, in which, in a first preprocessing stage, for a database of m lights Ei(λ) and n surfaces Sj(λ) there is calculated Ti˜QFQ+ where Q1F and QF represent the matrices of unfiltered and filtered sensor responses to the n surfaces under the i th light and + denotes an inverse, and in a second operation stage, given P surfaces in an image and 3×P matrices Q and QF, from these matrices there are chosen the r % brightest pixels giving the matrices Q′ and Q′F, and the scene illuminant Pest is estimated where formula (I) and (II).

Abstract translation: 在色度光源估计的方法中，比较来自具有不同滤波的相互对应的图像的像素，选择最亮像素的一部分用于随后的色素估计。 像素可以在相应的位置，或者它们可以对应，因为它们的平均亮度处于相同的等级顺序。 在一种方法中，在第一预处理阶段中，对于m个光源（λ）和n个表面Sj（λ）的数据库，计算Ti_QFQ +，其中Q1F和QF表示未滤波和滤波的传感器响应的矩阵 在第i个光下的n个表面和+表示反向，并且在第二个操作阶段中，给定图像中的P个表面和3×P个矩阵Q和QF，从这些矩阵中选出给出矩阵的r％最亮像素 Q'和Q'F，并且在公式（I）和（II）中估计场景光源Pest。

公开(公告)号：US08611660B2

公开(公告)日：2013-12-17

申请号：US13764833

申请日：2013-02-12

Applicant: Apple Inc.

Inventor： Graham D. Finlayson ,  Mark Samuel Drew ,  Clement Fredembach

IPC: G06K9/34 ,  G06K9/46

CPC classification number: G06K9/34 ,  G06K9/4661 ,  G06T7/11 ,  G06T7/174 ,  G06T2207/10024 ,  G06T2207/10152

Abstract: An image having m light sources, with m preferably equaling 2 or 3, is segmented into different regions, each of which is lit by only one of the m light sources, by obtaining paired imaged with different filtering, for example a filtered and an unfiltered image, applying to the image pairs sets of m pre-computed mappings at the pixel or region level, and selecting the most appropriate. The rendering of the information in the image maybe adjusted accordingly.

Abstract translation: 具有m个光源的图像，其优选地等于2或3，被分割成不同的区域，每个区域仅通过m个光源中的一个被点亮，通过获得具有不同滤波的成对成像，例如滤波和未滤波 图像，应用于在像素或区域级别的m个预先计算的映射的图像对集合，并且选择最合适的。 图像中的信息的渲染可以相应地进行调整。

公开(公告)号：US08811729B2

公开(公告)日：2014-08-19

申请号：US13743893

申请日：2013-01-17

Applicant: Apple Inc.

Inventor： Graham D. Finlayson ,  Clement Fredembach

IPC: G06K9/00

CPC classification number: G06T5/50 ,  G06T7/90 ,  G06T7/97

Abstract: In a method of chromagenic illuminant estimation pixels from mutually-corresponding images with different filtering are compared, a fraction of the brightest pixels being selected for a subsequent chromagenic estimation. The pixels may be at corresponding locations or they may correspond in that their mean brightness is in the same rank order. In one method, in which, in a first preprocessing stage, for a database of m lights Ei(λ) and n surfaces Sj(λ) there is calculated Ti˜QFQ+ where Q1F and QF represent the matrices of unfiltered and filtered sensor responses to the n surfaces under the i th light and + denotes an inverse, and in a second operation stage, given P surfaces in an image and 3×P matrices Q and QF, from these matrices there are chosen the r % brightest pixels giving the matrices Q′ and Q′F, and the scene illuminant Pest is estimated where formula (I) and (II).

Abstract translation: 在色度光源估计的方法中，比较来自具有不同滤波的相互对应的图像的像素，选择最亮像素的一部分用于随后的色素估计。 像素可以在相应的位置，或者它们可以对应，因为它们的平均亮度处于相同的等级顺序。 在一种方法中，在第一预处理阶段中，对于m个光源Ei（λ）和n个表面Sj（λ）的数据库，计算Ti_QFQ +，其中Q1F和QF表示未滤波和滤波的传感器响应的矩阵 在第i个光下的n个表面和+表示反向，并且在第二个操作阶段中，给定图像中的P个表面和3×P个矩阵Q和QF，从这些矩阵中选出给出矩阵的r％最亮像素 Q'和Q'F，并且在公式（I）和（II）中估计场景光源Pest。

公开(公告)号：US20130170743A1

公开(公告)日：2013-07-04

申请号：US13764833

申请日：2013-02-12

Applicant: APPLE INC.

Inventor： Graham D. Finlayson ,  Mark Samuel Drew ,  Clement Fredembach

IPC: G06K9/34

CPC classification number: G06K9/34 ,  G06K9/4661 ,  G06T7/11 ,  G06T7/174 ,  G06T2207/10024 ,  G06T2207/10152

Abstract: An image having m light sources, with m preferably equaling 2 or 3, is segmented into different regions, each of which is lit by only one of the m light sources, by obtaining paired imaged with different filtering, for example a filtered and an unfiltered image, applying to the image pairs sets of m pre-computed mappings at the pixel or region level, and selecting the most appropriate. The rendering of the information in the image maybe adjusted accordingly.

Abstract translation: 具有m个光源的图像，其优选地等于2或3，被分割成不同的区域，每个区域仅通过m个光源中的一个被点亮，通过获得具有不同滤波的成对成像，例如滤波和未滤波 图像，应用于在像素或区域级别的m个预先计算的映射的图像对集合，并且选择最合适的。 图像中的信息的渲染可以相应地进行调整。