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公开(公告)号：US09077873B2
公开(公告)日：2015-07-07
申请号：US13722949
申请日：2012-12-20
Applicant: STMicroelectronics S.r.l.
Inventor： Angelo Bosco , Arcangelo Ranieri Bruna , Davide Giacalone
CPC classification number: H04N5/2176 , G06T5/005 , G06T2207/10024 , G06T2207/20012 , H04N5/367 , H04N9/045
Abstract: Image defects in digital images are easily detectable by the human eye but may be difficult to detect in a computer-implemented fashion. In an embodiment of a digital-image-acquisition device, defects are removed on the CFA domain before color interpolation takes place. In order to allow cancellation of couplets of defective pixels, a two pass embodiment is presented. Such embodiment presents methods and systems that can remove both couplets and singlets without damaging the image. The system includes a ring corrector that detects a defect in the ring of pixels that surround a central pixel, a singlet corrector that detects and corrects the central pixel and removes a couplet if the ring corrector is activated, whereas if the ring corrector is switched off, the singlet corrector only removes singlets, and a peak-and-valley detector that avoids overcorrection by avoiding correcting signal peaks or valleys in case of spikes or drops in signal.
Abstract translation: 数字图像中的图像缺陷易于被人眼检测，但可能难以以计算机实现的方式检测。 在数字图像采集设备的实施例中，在进行颜色插值之前，在CFA域上去除缺陷。 为了允许消除对偶的有缺陷的像素，提出了两步实施例。 这种实施例提出了可以在不损坏图像的情况下移除对联和单个的方法和系统。 该系统包括环形校正器，其检测环绕中心像素的像素环中的缺陷;单校正器，其检测和校正中心像素，并且如果环形校正器被激活则去耦合，而如果环形校正器被关闭 ，单线校正器仅消除单峰，以及峰谷检测器，通过避免在信号峰值或信号下降时纠正信号峰值或谷值，避免过度校正。
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公开(公告)号：US20150206324A1
公开(公告)日：2015-07-23
申请号：US14675630
申请日：2015-03-31
Applicant: STMICROELECTRONICS S.R.L.
Inventor： Angelo Bosco , Arcangelo Ranieri Bruna , Davide Giacalone , Rosetta Rizzo
CPC classification number: G06T7/44 , G06T5/002 , G06T5/20 , G06T2207/10004 , G06T2207/10024 , G06T2207/20021 , G06T2207/20182
Abstract: An embodiment relates to a method for the detection of texture of a digital image, including providing a raw data image of the image by means of Bayer image sensors, determining noise in at least a region of the raw data image and determining the texture based on the determined noise without using a high pass or low pass filter.
Abstract translation: 一个实施例涉及一种用于检测数字图像的纹理的方法，包括通过拜耳图像传感器提供图像的原始数据图像，确定原始数据图像的至少一个区域中的噪声，并基于 确定的噪声，而不使用高通或低通滤波器。
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公开(公告)号：US20180267073A1
公开(公告)日：2018-09-20
申请号：US15458755
申请日：2017-03-14
Applicant: STMicroelectronics, Inc. , STMicroelectronics S.r.l.
Inventor： Sankalp Dayal , Davide Giacalone
CPC classification number: G06K9/00342 , A61B5/002 , A61B5/1123 , A61B5/681 , A61B5/6831 , A61B5/6898 , A61B5/7225 , A61B5/7246 , A61B5/7264 , A61B5/7267 , A61B2562/0204 , A61B2562/0219 , A61B2562/0247 , A61B2562/028 , A61B2562/029 , G06K9/00543
Abstract: In an embodiment, a device may include a first sensor configured to generate first sensor data during a first time period and a second time period; a second sensor configured to be disabled during the first time period, the second sensor further being configured to generate second sensor data during the second time period; and a processor configured to determine a characteristic of the first sensor data during the first time period. The device may further include a classifying circuit configured to determine, during the first time period, whether the device has changed state based on the characteristic of the first sensor data, the classifying circuit further being configured to cause the second sensor to be enabled in response to a change in a state of the device.
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公开(公告)号：US09959633B2
公开(公告)日：2018-05-01
申请号：US14675630
申请日：2015-03-31
Applicant: STMICROELECTRONICS S.R.L.
Inventor： Angelo Bosco , Arcangelo Ranieri Bruna , Davide Giacalone , Rosetta Rizzo
CPC classification number: G06T7/44 , G06T5/002 , G06T5/20 , G06T2207/10004 , G06T2207/10024 , G06T2207/20021 , G06T2207/20182
Abstract: An embodiment relates to a method for the detection of texture of a digital image, including providing a raw data image of the image by means of Bayer image sensors, determining noise in at least a region of the raw data image and determining the texture based on the determined noise without using a high pass or low pass filter.
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