Processing digital images to be projected on a screen
    1.
    发明授权
    Processing digital images to be projected on a screen 有权
    处理要投影到屏幕上的数字图像

    公开(公告)号:US09554102B2

    公开(公告)日:2017-01-24

    申请号:US14133381

    申请日:2013-12-18

    CPC classification number: H04N9/3173 H04N9/3182 H04N9/3194 H04N9/67

    Abstract: An embodiment relates to a method for converting a digital image from a first color space to a second color space. The first color space is associated with an electronic source device, and the second color space is associated with a projection apparatus of digital images on a screen and coupled to the source device. The method includes: performing a first conversion on a first triad of parameters associated to the first color space by a first conversion matrix to map such a first triad in a third triad of parameters; the third triad is representative of a color space independent from the first and the second color spaces; performing a second conversion on the third triad of parameters by a second conversion matrix to map such a third triad of parameters in a second triad of parameters representative of the second color space. An embodiment of the step of performing the second conversion includes a step of computing the coefficients of the second conversion matrix based on at least one first piece of information representative of a variable distance between the projection apparatus and the screen.

    Abstract translation: 实施例涉及将数字图像从第一颜色空间转换为第二颜色空间的方法。 第一颜色空间与电子源设备相关联,并且第二颜色空间与屏幕上的数字图像的投影设备相关联并耦合到源设备。 该方法包括:通过第一转换矩阵对与第一颜色空间相关联的参数的第一三元组执行第一转换,以将第三三元组的参数映射到第一三元组; 第三个三元组代表与第一和第二颜色空间无关的颜色空间; 通过第二转换矩阵在第三三元组参数上执行第二转换,以在表示第二颜色空间的参数的第二三元组中映射这样的第三三元组参数。 执行第二转换的步骤的实施例包括基于表示投影设备和屏幕之间的可变距离的至少一个第一信息来计算第二转换矩阵的系数的步骤。

    Time-series data processing method, corresponding processing system, device and computer program product

    公开(公告)号:US11880427B2

    公开(公告)日:2024-01-23

    申请号:US16998810

    申请日:2020-08-20

    Inventor: Angelo Bosco

    CPC classification number: G06F17/18 G06F17/16 G06F18/2321

    Abstract: An embodiment method of processing at least one sensing signal comprising a time-series of signal samples comprises high-pass filtering the time series of signal samples to produce a filtered time series; applying delay embedding processing to the filtered time series; producing a first matrix by storing the set of time-shifted time series as an ordered list of entries in the first matrix; applying a first truncation to produce a second matrix by truncating the entries in the ordered list of entries at one end of the first matrix to remove a number of items equal to the product of the first delay embedding parameter decreased by one times the second delay embedding parameter; applying entry-wise processing to the second matrix, and forwarding a set of estimated kernel densities and/or a set of images generated as a function of the set of estimated kernel densities to a user circuit.

    Method, system, and computer program product to employ a multi-layered neural network for classification

    公开(公告)号:US11537840B2

    公开(公告)日:2022-12-27

    申请号:US16189264

    申请日:2018-11-13

    Abstract: A neural network classifies an input signal. For example, an accelerometer signal may be classified to detect human activity. In a first convolutional layer, two-valued weights are applied to the input signal. In a first two-valued function layer coupled at input to an output of the first convolutional layer, a two-valued function is applied. In a second convolutional layer coupled at input to an output of the first two-valued functional layer, weights of the second convolutional layer are applied. In a fully-connected layer coupled at input to an output of the second convolutional layer, two-valued weights of the fully connected layer are applied. In a second two-valued function layer coupled at input to an output of the fully connected layer, a two-valued function of the second two-valued function layer is applied. A classifier classifies the input signal based on an output signal of second two-valued function layer.

    Color filter array defect correction
    5.
    发明授权
    Color filter array defect correction 有权
    滤色器阵列缺陷校正

    公开(公告)号:US09077873B2

    公开(公告)日:2015-07-07

    申请号:US13722949

    申请日:2012-12-20

    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。

    Data processing method, corresponding processing system, sensor device and computer program product

    公开(公告)号:US12165037B2

    公开(公告)日:2024-12-10

    申请号:US17391363

    申请日:2021-08-02

    Inventor: Angelo Bosco

    Abstract: An embodiment method comprises applying domain transformation processing to a time-series of signal samples, received from a sensor coupled to a dynamical system, to produce a dataset of transformed signal samples therefrom, buffering the transformed signal samples, obtaining a data buffer having transformed signal samples as entries, computing statistical parameters of the data buffer, producing a drift signal indicative of the evolution of the dynamical system as a function of the computed statistical parameters, selecting transformed signal samples buffered in the data buffer as a function of the drift signal, applying normalization processing to the buffered transformed signal samples, applying auto-encoder artificial neural network processing to a dataset of resealed signal samples, and producing a dataset of reconstructed signal samples and calculating an error of reconstruction. The error of reconstruction reaching or failing to reach a threshold value is indicative of the evolution of dynamical system over time.

    METHOD AND SYSTEM FOR CHROMATIC GAMUT EXTENSION, CORRESPONDING APPARATUS AND COMPUTER PROGRAM PRODUCT
    8.
    发明申请
    METHOD AND SYSTEM FOR CHROMATIC GAMUT EXTENSION, CORRESPONDING APPARATUS AND COMPUTER PROGRAM PRODUCT 有权
    色彩扩展方法与系统,相关设备和计算机程序产品

    公开(公告)号:US20150221281A1

    公开(公告)日:2015-08-06

    申请号:US14608637

    申请日:2015-01-29

    Abstract: Color images designed to be displayed, for example, with a projector such as a laser pico projector, are subjected to gamut extension in respective iso-hue paths in the CIE1931xyY color space, operating for example, as follows: a plurality of iso-hue curves in the CIE1931xyY color space is determined; for the points subjected to gamut extension, the closest iso-hue curves are identified; and extension paths to be used for the operation of gamut extension are interpolated from said closest iso-hue curves.

    Abstract translation: 设计为例如用诸如激光微型投影仪的投影仪显示的彩色图像在CIE1931xyY色彩空间的各个等色调路径中进行色域扩展,例如如下操作:多个等色调 确定CIE1931xyY颜色空间中的曲线; 对于经过色域扩展的点,识别出最接近的等色调曲线; 并且从所述最近的等色曲线插值用于色域扩展的操作的扩展路径。

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