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Patent Agency Ranking
公开(公告)号：US20140334726A1
公开(公告)日：2014-11-13
申请号：US13888802
申请日：2013-05-07
Applicant: Qualcomm Technologies, Inc.
Inventor： Christophe Bernard , Sarah Lannes
IPC: 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。
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公开(公告)号：US09288464B2
公开(公告)日：2016-03-15
申请号：US14462330
申请日：2014-08-18
Applicant: QUALCOMM Technologies, Inc.
Inventor： Christophe Bernard , Vincent Varoquaux , Marc De Vulpillieres
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。
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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
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。
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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
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。
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公开(公告)号：US09123126B2
公开(公告)日：2015-09-01
申请号：US13888824
申请日：2013-05-07
Applicant: QUALCOMM Technologies, Inc.
Inventor： Christophe Bernard , Sarah Lannes
CPC classification number: G06T5/10 , G06T5/008 , G06T2207/10024 , G06T2207/20064
Abstract: A method for enhancing local contrast of an image. The method comprises receiving a component of an image, computing a wavelets decomposition of the received component into wavelet coefficients, determining at least three subsets of wavelets coefficients based on a first threshold, a second threshold and computed wavelet coefficients, modifying the determined at least three subsets by applying at least a sharpening transformation on wavelet coefficients of at least one subset in said at least three subsets, recombining the at least three subsets into final wavelet coefficients, and reconstructing a new component based on the final wavelet coefficients.
Abstract translation: 一种用于增强图像的局部对比度的方法。 该方法包括接收图像的分量，将接收到的分量的小波分解计算为小波系数，基于第一阈值，第二阈值和计算的小波系数确定至少三个小波系数子集，修改所确定的至少三个 通过对所述至少三个子集中的至少一个子集的小波系数应用至少锐化变换来将所述至少三个子集重新组合成最终小波系数，以及基于所述最终小波系数重构新分量来生成子集。
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