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公开(公告)号：US20220101059A1
公开(公告)日：2022-03-31
申请号：US17494100
申请日：2021-10-05
申请人： MORPHO, INC.
摘要： A training system comprises a training device, and a training data creation device for the training device. The training device trains a neural network by means of a backpropagation algorithm. The training data creation device acquires any one of a positive evaluation indicating that content of the input data coincides with the label, a negative evaluation indicating that content of the input data does not coincide with the label, and an ignorable evaluation indicating exclusion from a training target label, for each label regarding the input data to create training data. In training the neural network for training, the training system adjusts the weight coefficient for the intermediate layer such that the recognition score of the label with the positive evaluation or the negative evaluation comes closer to the ground-truth score of the positive evaluation or the negative evaluation, and makes the recognition score of the label with the ignorable evaluation not affect the adjustment of the weight coefficient for the intermediate layer.
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公开(公告)号：US11170262B2
公开(公告)日：2021-11-09
申请号：US15771735
申请日：2016-10-14
申请人： MORPHO, INC.
摘要： A training system comprises a training device, and a training data creation device. The training device trains a neural network. The training data creation device acquires any one of a positive evaluation indicating that content of the input data coincides with the label, a negative evaluation indicating that content of the input data does not coincide with the label, and an ignorable evaluation indicating exclusion from a training target label, for each label regarding the input data to create training data. In training the neural network for training, the training system adjusts the weight coefficient for the intermediate layer and makes the recognition score of the label with the ignorable evaluation not affect the adjustment of the weight coefficient for the intermediate layer.
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公开(公告)号：US10089770B2
公开(公告)日：2018-10-02
申请号：US15482818
申请日：2017-04-10
申请人： MORPHO, INC.
发明人： Michihiro Kobayashi
IPC分类号： G06T5/00 , G06T5/50 , G06T11/60 , G06T7/20 , G06T3/40 , G06T11/00 , G06T7/215 , G06T7/269 , G06T7/194
摘要： The present disclosure is to generate a high-quality image by correcting a predetermined correction target image based on a plurality of input images. In an image processing device 3, an image correcting section 160 detects a user tap gesture on a touch panel 250. When the position of the tap gesture is within foreground candidate areas detected by a foreground candidate area detecting section 140, the image correcting section 160 corrects a base image set by a base image setting section 120 in the areas corresponding to the foreground candidate areas.
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公开(公告)号：US09659350B2
公开(公告)日：2017-05-23
申请号：US14608148
申请日：2015-01-28
申请人： MORPHO, INC.
发明人： Michihiro Kobayashi
IPC分类号： G06T5/00 , G06T5/50 , G06T7/20 , G06T3/40 , G06T11/60 , G06T11/00 , G06T7/215 , G06T7/269 , G06T7/194
CPC分类号： G06T11/60 , G06T3/4038 , G06T5/005 , G06T5/50 , G06T7/194 , G06T7/20 , G06T7/215 , G06T7/269 , G06T11/00 , G06T2207/10004 , G06T2207/10016 , G06T2207/20076 , G06T2207/20221 , G06T2207/30196
摘要： The present disclosure is to generate a high-quality image by correcting a predetermined correction target image based on a plurality of input images. In an image processing device 3, an image correcting section 160 detects a user tap gesture on a touch panel 250. When the position of the tap gesture is within foreground candidate areas detected by a foreground candidate area detecting section 140, the image correcting section 160 corrects a base image set by a base image setting section 120 in the areas corresponding to the foreground candidate areas.
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公开(公告)号：US11272124B2
公开(公告)日：2022-03-08
申请号：US16338615
申请日：2017-10-31
申请人： Morpho, Inc.
发明人： Michihiro Kobayashi
摘要： A device includes an acquiring unit acquiring a plurality of images including a first image, a second image, and a third image; a region detecting unit comparing pixel values of the first image and the third image to detect a moving object region; and a compositing unit generating a composite image by synthesizing a target image selected from a plurality of images and the second image wherein the compositing unit performs a ghost removing process for pixels of the target image corresponding to the moving object region and pixels of the second image corresponding to the moving object region to bring the pixel values of one of these images closer to the pixel values of the other image, and synthesizes the target image and the second image after the ghost removing process.
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公开(公告)号：US11159725B2
公开(公告)日：2021-10-26
申请号：US16866567
申请日：2020-05-05
申请人： MORPHO, INC. , Sharp Corporation
发明人： Hirotaka Kawano , Shun Hirai , Masaki Satoh , Michihiro Kobayashi , Taiga Koseki
摘要： An image processing apparatus includes: an alignment unit configured to perform alignment for a group of images including a plurality of short-time-exposure images that are captured with a first exposure time and a long-time-exposure image that is captured with a second exposure time that is longer than the first exposure time; and an output unit configured to output the long-time-exposure image in a case where the long-time-exposure image satisfies a predetermined condition and configured to output a composite image which is generated by compositing a plurality of images selected from among the plurality of short-time-exposure images, in a case where the long-time-exposure image does not satisfy the predetermined condition.
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公开(公告)号：US10074165B2
公开(公告)日：2018-09-11
申请号：US14848751
申请日：2015-09-09
申请人： MORPHO, INC.
发明人： Michihiro Kobayashi , Kouta Kurihara , Ryo Ono
CPC分类号： G06T5/50 , G06T2207/10024 , G06T2207/10152 , G06T2207/20221 , H04N1/3871 , H04N1/6086
摘要： An image composition device composites a no-flash image including a subject captured under ambient light and a flash image including the subject captured by emitting flash light to generate a composite image including the subject. The image composition device includes an input unit that enables the no-flash image and the flash image to be input, a correction unit that corrects the no-flash image and the flash image input from the input unit, and a composition unit that composites the no-flash image and the flash image output from the correction unit to generate a composite image. The correction unit corrects a color temperature of the no-flash image.
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8.发明授权公开(公告)号：US10043244B2
公开(公告)日：2018-08-07
申请号：US14689286
申请日：2015-04-17
申请人： Morpho, Inc.
发明人： Michihiro Kobayashi
摘要： The image processing device performs noise removal processing for an input image. The image processing device comprises a filter setting unit configured to set first and second filter factors by using a first target pixel value of a noise processing target pixel to be targeted to the processing and a reference pixel value of a plurality of reference pixels surrounding the noise processing target pixel and a noise removal unit configured to calculate a corrected pixel value by sequentially adding a luminance component of the reference pixel value weighted with the first filter factor and sequentially adding a chroma component of the reference pixel value weighted with the second filter factor, and remove noise of the noise processing target pixel by using the corrected pixel value. The input image has pixel values according to Bayer pattern format.
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公开(公告)号：US09824431B2
公开(公告)日：2017-11-21
申请号：US15084602
申请日：2016-03-30
申请人： Morpho, Inc.
发明人： Michihiro Kobayashi
CPC分类号： G06T5/50 , G06T11/60 , G06T2207/20016 , G06T2207/20021 , G06T2207/20048 , G06T2207/20221
摘要： An image synthesis apparatus for generating a composite image by synthesizing a second image with a first image, includes an image acquisition unit configured to acquire first group images including the first image and a plurality of different resolution images corresponding to the first image, and second group images including the second image and a plurality of different resolution images corresponding to the second image, a frequency component calculation unit configured to calculate low-frequency components and high-frequency components from the first group images and the second group images, and an image synthesis unit configured to generate the composite image on the basis of the low-frequency components of the first group images and the high-frequency components of the second group images.
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