公开(公告)号：US20150022687A1

公开(公告)日：2015-01-22

申请号：US13946277

申请日：2013-07-19

Applicant: Qualcomm Technologies, Inc.

Inventor： Micha Galor

IPC: H04N5/235 ,  H04N5/243

CPC classification number: H04N5/2351 ,  H04N5/23229 ,  H04N5/2352 ,  H04N5/2353 ,  H04N5/243

Abstract: A method of capturing a digital image with a digital camera includes determining a first exposure level for capturing an image based on a first luminance level of the image, determining a second exposure level for capturing the image based on a threshold exposure level of the image, configuring an exposure level of a sensor of the digital camera based on the second exposure level, capturing the image as a digital image, and adding a non-linear digital gain to the digital image based on a difference between the first exposure level and the second exposure level.

Abstract translation: 使用数字照相机拍摄数字图像的方法包括基于图像的第一亮度级确定用于捕获图像的第一曝光级别，基于图像的阈值曝光水平确定用于捕获图像的第二曝光级别， 基于第二曝光水平配置数字照相机的传感器的曝光水平，将图像捕捉为数字图像，以及基于第一曝光水平与第二曝光水平之间的差异将非线性数字增益添加到数字图像 暴露水平

公开(公告)号：US20150016724A1

公开(公告)日：2015-01-15

申请号：US14341699

申请日：2014-07-25

Applicant: Qualcomm Technologies, Inc.

Inventor： Noam Levy

IPC: G06T7/00 ,  G06T5/00

CPC classification number: G06T7/0079 ,  G06T5/002 ,  G06T7/11 ,  G06T7/136 ,  G06T7/162 ,  G06T7/174 ,  G06T7/194 ,  G06T2207/10016 ,  G06T2207/10148 ,  G06T2207/20021 ,  G06T2207/20036 ,  G06T2207/20072 ,  H04N5/14 ,  H04N5/2226 ,  H04N5/23206 ,  H04N5/23212 ,  H04N5/23229 ,  H04N5/23254

Abstract: Embodiments are directed towards determining within a digital camera whether a pixel belongs to a foreground or background segment within a given image by evaluating a ratio of derivative and deviation metrics in an area around each pixel in the image, or ratios of derivative metrics across a plurality of images. For each pixel within the image, a block of pixels are examined to determine an aggregate relative derivative (ARD) in the block. The ARD is compared to a threshold value to determine whether the pixel is to be assigned in the foreground segment or the background segment. In one embodiment, a single image is used to determine the ARD and the pixel segmentation for that image. Multiple images may also be used to obtain ratios of a numerator of the ARD, useable to determine an extent of the foreground.

Abstract translation: 实施例涉及在数字照相机内确定像素是否属于给定图像内的前景或背景段，通过评估图像中每个像素附近的区域中的导数和偏差度量的比率，或多个衍生度量的比率 的图像。 对于图像中的每个像素，检查像素块以确定块中的聚集相对导数（ARD）。 将ARD与阈值进行比较，以确定是否要在前景段或背景段中分配像素。 在一个实施例中，使用单个图像来确定该图像的ARD和像素分割。 也可以使用多个图像来获得可用于确定前景范围的ARD分子的比例。

公开(公告)号：US20150015783A1

公开(公告)日：2015-01-15

申请号：US14462330

申请日：2014-08-18

Applicant: QUALCOMM Technologies, Inc.

Inventor： Christophe Bernard ,  Vincent Varoquaux ,  Marc De Vulpillieres

IPC: H04N11/20 ,  H04N9/64 ,  H04N11/24

CPC classification number: H04N11/20 ,  G06T3/4007 ,  H04N7/0125 ,  H04N9/646 ,  H04N11/002

Abstract: The present invention relates to a method for scaling a first channel, wherein the method comprises computing a low resolution second channel based on a transformation of the second channel with a transformation function used to transform high resolution channel into a low resolution channel; computing a correlation function between the low resolution second channel and the first channel; determining a predicted second channel having the high resolution from the low resolution second channel according to a prediction method; computing an high-pass second channel based on the difference between the second channel and the predicted second channel and based on the correlation function; determining a predicted first channel having the high resolution from the first channel according to the prediction method.

Abstract translation: 本发明涉及一种用于缩放第一信道的方法，其中该方法包括：基于第二信道的变换，使用用于将高分辨率信道转换成低分辨率信道的变换函数来计算低分辨率第二信道; 计算低分辨率第二通道和第一通道之间的相关函数; 根据预测方法从低分辨率第二信道确定具有高分辨率的预测第二信道; 基于所述第二信道和所述预测的第二信道之间的差异，并且基于所述相关函数来计算高通第二信道; 根据预测方法，从第一信道确定具有高分辨率的预测第一信道。

公开(公告)号：US08879863B1

公开(公告)日：2014-11-04

申请号：US13888802

申请日：2013-05-07

Applicant: Qualcomm Technologies, Inc.

Inventor： Christophe Bernard ,  Sarah Lannes

IPC: G06K9/36 ,  G06T5/00

CPC classification number: G06T5/002 ,  G06T7/0002 ,  G06T2207/10024 ,  G06T2207/20016 ,  G06T2207/20021 ,  G06T2207/20064 ,  G06T2207/20182 ,  G06T2207/30168

Abstract: A method for determining noise levels in a subband of an image. The method comprises receiving the subband of the image, defining block regions in at least two space domains of the subband, for each defined block region, identifying first wavelet coefficients associated with coordinate values in the at least two space domains in the defined block region, computing a correlation matrix between identified wavelet coefficients to determine the correlation between first wavelet coefficients according to the at least one color domain, computing second wavelet coefficients, the computation of second wavelet coefficients being based on the correlation matrix and the first wavelet coefficients, computing at least one noise level, the noise level computation being based on at least one second wavelet coefficient and providing the at least one noise level.

Abstract translation: 一种用于确定图像的子带中的噪声水平的方法。 该方法包括接收图像的子带，为每个定义的块区域定义子带的至少两个空间域中的块区域，识别与所定义的块区域中的至少两个空间域中的坐标值相关联的第一小波系数， 计算确定的小波系数之间的相关矩阵，以确定根据至少一个色域的第一小波系数之间的相关性，计算第二小波系数，基于相关矩阵的第二小波系数的计算和第一小波系数， 至少一个噪声电平，所述噪声电平计算基于至少一个第二小波系数并提供所述至少一个噪声电平。

公开(公告)号：US20140095809A1

公开(公告)日：2014-04-03

申请号：US13941483

申请日：2013-07-13

Applicant: QUALCOMM TECHNOLOGIES, INC.

Inventor： Laurent MOLL ,  Jean-Jacques Lecler ,  Jonah Proujansky-Bell

IPC: G06F12/08

CPC classification number: G06F12/0831

Abstract: A coherency controller with a data buffer store that is smaller than the volume of pending read data requests. Data buffers are allocated only for requests that match the ID of another pending request. Buffers are deallocated if all snoops receive responses, none of which contain data. Buffers containing clean data have their data discarded and are reallocated to later requests. The discarded data is later read from the target. When all buffers are full of dirty data requests with a pending order ID are shunted into request queues for later service. Dirty data may be foisted onto coherent agents to make buffers available for reallocation. Accordingly, the coherency controller can issue snoops and target requests for a volume of data that exceeds the number of buffers in the data store.

Abstract translation: 具有数据缓冲存储器的一致性控制器，其小于待处理的读取数据请求的数量。 数据缓冲区仅分配给与另一待处理请求的ID匹配的请求。 如果所有的snoops都收到响应，那么缓冲区被解除分配，其中没有一个包含数据。 包含干净数据的缓冲区会丢弃其数据，并将其重新分配给以后的请求。 丢弃的数据随后从目标读取。 当所有缓冲区充满了具有待处理订单ID的脏数据请求时，它们被分流到请求队列中以供稍后服务。 脏数据可能会被阻塞到相关代理上，以使缓冲区可用于重新分配。 因此，一致性控制器可以对超过数据存储器中的缓冲器数量的数据量发出窥探和目标请求。