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公开(公告)号：US12125244B2
公开(公告)日：2024-10-22
申请号：US17672427
申请日：2022-02-15
Applicant: KYOCERA Document Solutions, Inc.
Inventor： Kilho Shin , Dongpei Su
CPC classification number: G06T7/90 , G06N3/04 , G06T2207/10024 , G06T2207/20084
Abstract: A method includes generating multiple attention map for an image from outputs of a corresponding different one of multiple convolutional hidden layers of a neural network. A different weighted attention map is then generated from each of the attention map. The weighted attention maps are input to a first fully-connected neural network layer to generate a colorfulness metric, which may be used to augment human-perceived colorfulness of the image.
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公开(公告)号：US20230237767A1
公开(公告)日：2023-07-27
申请号：US17586579
申请日：2022-01-27
Applicant: KYOCERA Document Solutions, Inc.
Inventor： Dongpei Su , Kilho Shin
CPC classification number: G06V10/757 , G06V10/22 , G06T3/40 , G06V10/62 , G06F21/60
Abstract: A method and apparatus for detecting a digital stamp pattern are disclosed. Keypoints and descriptors are extracted from an original template pattern image. A low resolution original document and at least one lower resolution template pattern image are template-matched to detect a matched region based on match correlation coefficients. This region is cropped out of a full resolution original document. Keypoints and descriptors are extracted from the cropped region, and are matched with stamp pattern keypoints and descriptors using feature based pattern matching. A transformation matrix is used to detect scaling, rotation, and translation of a detected digital stamp pattern in the cropped region. A number of qualified matches determined using feature based pattern matching or the transformation matrix are checked against a pre-set threshold. If a pre-set threshold is exceeded, an alert is generated for a possible security issue. Otherwise, a no security issues signal may be generated.
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3.发明公开公开(公告)号：US20240161521A1
公开(公告)日：2024-05-16
申请号：US18055761
申请日：2022-11-15
Applicant: KYOCERA Document Solutions, Inc.
Inventor： Waqas Rasheed , Dongpei Su , Kilho Shin , Sheng Li
CPC classification number: G06V20/95 , G06V10/751 , G06V10/82 , G06V30/40
Abstract: A scanning control for a photocopier includes a pair of identically weighted networks configured to perform feature extraction on images and a memory storing registered security patterns. A match head of the scanning control receives an image pair, wherein a first image of the image pair is generated by a scanning element of the photocopier, and a second image of the image pair is obtained from the registered security patterns, and outputs a match score for the image pair. The output of the match head coupled controls operation of the scanning element.
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公开(公告)号：US20240161463A1
公开(公告)日：2024-05-16
申请号：US18055782
申请日：2022-11-15
Applicant: KYOCERA Document Solutions, Inc.
Inventor： Waqas Rasheed , Dongpei Su , Kilho Shin , Sheng Li
IPC: G06V10/774 , G06V10/74 , G06V10/764 , G06V10/77 , G06V10/82 , G06V30/413
CPC classification number: G06V10/774 , G06V10/761 , G06V10/764 , G06V10/7715 , G06V10/82 , G06V30/413
Abstract: A digital image comparator includes an Faster R-CNN configured to generate a filtered set of local feature maps of an input image, a match head, and logic to preserve the local feature maps in an indexed data structure and to make the local feature maps retrievable by the match head via local feature map indexes.
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公开(公告)号：US11694315B2
公开(公告)日：2023-07-04
申请号：US17243887
申请日：2021-04-29
Applicant: KYOCERA Document Solutions Inc.
Inventor： Kilho Shin , Kendrick Esperanza Wong
CPC classification number: G06T7/0002 , G06N3/08 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084 , G06T2207/20224 , G06T2207/30168
Abstract: A system employs a trained model to detect artifact(s) associated with artifact type(s) appearing in a reproduction of a source image (a test image). The system determines differences between the test image and the source image and outputs probabilities that the artifact(s) in the test image are associated with each of the artifact type(s). A dataset for training the model includes: (i) a reference category including reference image(s) without any artifacts; and (ii) artifact categories, each corresponding to a respective one of the artifact types and including noised images associated with the respective artifact type. Each noised image includes one of the reference images and an artifact associated with the respective artifact type. The model is trained to detect the artifact type(s) by providing the model with the dataset and causing the model to process differences between each noised image and the reference image in the noised image.
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Patent Agency Ranking
6.发明申请公开(公告)号：US20230114402A1
公开(公告)日：2023-04-13
申请号：US17498269
申请日：2021-10-11
Applicant: KYOCERA Document Solutions, Inc.
Inventor： Kilho Shin , Dongpei Su
Abstract: Embodiments provide an automated approach for generating unbiased synthesized image-label pairs for colorization training of retro photographs. Modern grayscale images with corresponding color images are translated to images with the characteristics of retro photographs, thereby producing training data that pairs images with the characteristics of retro paragraphs with corresponding color images. This training data can then be employed to train a deep learning model to colorize retro photographs more effectively.
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7.发明授权公开(公告)号：US11989916B2
公开(公告)日：2024-05-21
申请号：US17498269
申请日：2021-10-11
Applicant: KYOCERA Document Solutions, Inc.
Inventor： Kilho Shin , Dongpei Su
CPC classification number: G06T7/90 , G06N20/00 , G06T11/001 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084
Abstract: Embodiments provide an automated approach for generating unbiased synthesized image-label pairs for colorization training of retro photographs. Modern grayscale images with corresponding color images are translated to images with the characteristics of retro photographs, thereby producing training data that pairs images with the characteristics of retro paragraphs with corresponding color images. This training data can then be employed to train a deep learning model to colorize retro photographs more effectively.
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公开(公告)号：US11909934B1
公开(公告)日：2024-02-20
申请号：US18055770
申请日：2022-11-15
Applicant: KYOCERA Document Solutions, Inc.
Inventor： Waqas Rasheed , Dongpei Su , Kilho Shin , Sheng Li
IPC: H04N1/00 , G06V30/413
CPC classification number: H04N1/00859 , G06V30/413
Abstract: A digital image processor includes a region proposal network configured to transform digital image inputs into region proposals and bounding box refinement logic configured to transform the region proposals by determining a first set of the region proposals exhibiting dense spacing, determining a second set of the region proposals exhibiting sparse spacing, executing a first transformation to merge at least some of the region proposals exhibiting dense spacing to generate refined region proposals, executing a second transformation to join at least some of the region proposals exhibiting sparse spacing to generate additional ones of the refined region proposals, and applying an expansion transformation to the refined region proposals.
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9.发明授权公开(公告)号：US11736640B1
公开(公告)日：2023-08-22
申请号：US17821450
申请日：2022-08-22
Applicant: KYOCERA Document Solutions, Inc.
Inventor： Kilho Shin
CPC classification number: H04N1/00689 , G06T7/0002 , H04N1/00734 , H04N1/00774 , G06T2207/20081 , G06T2207/20084 , G06T2207/30144 , H04N2201/0094
Abstract: Methods and system are disclosed for a double-feed detector with neural network classifier. These includes accepting pages of a print-based media substrate into a scanning device with a paper feed device, back-illuminating the pages using a light source, capturing a page image of back-illuminated pages using an image capture device, detecting noise patterns exhibited by the page image using an image processor, classifying detected noise patterns using a noise pattern classifier, and determining, using classified detected noise patterns and a neural network controller for a neural network model, whether the at least one page is a sheet stack (at least two pages stacked together and passing through the paper feed device concurrently) based on the classified detected noise patterns. On condition a sheet stack is detected, a sheet stack detected signal triggers taking an action.
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公开(公告)号：US20230260161A1
公开(公告)日：2023-08-17
申请号：US17672427
申请日：2022-02-15
Applicant: KYOCERA Document Solutions, Inc.
Inventor： Kilho Shin , Dongpei Su
CPC classification number: G06T7/90 , G06N3/04 , G06T2207/10024 , G06T2207/20084
Abstract: A method includes generating multiple attention map for an image from outputs of a corresponding different one of multiple convolutional hidden layers of a neural network. A different weighted attention map is then generated from each of the attention map. The weighted attention maps are input to a first fully-connected neural network layer to generate a colorfulness metric, which may be used to augment human-perceived colorfulness of the image.
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