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公开(公告)号：US20210082087A1
公开(公告)日：2021-03-18
申请号：US16960907
申请日：2018-12-12
Inventor： Mun Churl KIM , Yong Woo KIM , Jae Seok CHOI
IPC: G06T3/40 , H04N7/01 , G06T1/20 , H04N19/124
Abstract: Disclosed are an image processing method and device using a line-wise operation. The image processing device, according to one embodiment, comprises: a receiver for receiving an image; at least one first line buffer for outputting the image into a line-wise image line; a first convolution operator for generating a feature map by performing a convolution operation on the basis of the output from the first line buffer; and a feature map processor for storing the output from the first convolution operator in units of at least one line, and processing so as to output the feature map stored in units of at least one line into a two-dimensional form, wherein at least one convolution operation operates in the form of a pipeline.
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公开(公告)号：US20230216986A1
公开(公告)日：2023-07-06
申请号：US18088645
申请日：2022-12-26
Inventor： Mun Churl KIM , Yong Woo KIM , Jae Seok CHOI
Abstract: Disclosed are an image processing method and device using a line-wise operation. The image processing device, according to one embodiment, comprises: a receiver for receiving an image; a first convolution operator for generating a feature map by performing a convolution operation on the basis of the image; and a compressor for compressing the feature map into units of at least one line; and a decompressor for reconstructing the feature map compressed into units of lines.
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公开(公告)号：US20210366081A1
公开(公告)日：2021-11-25
申请号：US16961688
申请日：2018-12-12
Inventor： Mun Churl KIM , Yong Woo KIM , Jae Seok CHOI
IPC: G06T3/40 , G06K9/46 , G06N3/04 , H04N19/124
Abstract: An image processing method and apparatus using a line unit operation is disclosed. The image processing apparatus includes a receiver configured to receive an image, at least one first line buffer configured to output the received image to be an image line of a line unit, a first convolution operator configured to generate a feature map by performing a convolution operation based on the output image line, and a feature map processor configured to store the generated feature map as at least one line unit and process the feature map stored as the line unit to be output in a two-dimensional (2D) form.
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Patent Agency Ranking
公开(公告)号：US20210065334A1
公开(公告)日：2021-03-04
申请号：US16960088
申请日：2018-12-12
Inventor： Mun Churl KIM , Yong Woo KIM , Jae Seok CHOI
IPC: G06T3/40 , H04N7/01 , H04N19/124 , G06N3/08
Abstract: Disclosed are an image processing method and device using a line-wise operation. The image processing device, according to one embodiment, comprises: a receiver for receiving an image; a first convolution operator for generating a feature map by performing a convolution operation on the basis of the image; and a compressor for compressing the feature map into units of at least one line; and a decompressor for reconstructing the feature map compressed into units of lines.
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公开(公告)号：US20200336699A1
公开(公告)日：2020-10-22
申请号：US16960917
申请日：2018-12-12
Inventor： Mun Churl KIM , Yong Woo KIM , Jae Seok CHOI
IPC: H04N7/01
Abstract: Disclosed are an image processing method and device using a line-wise operation. The image processing device, according to one embodiment, comprises: a receiver for receiving two-dimensional pixel information; at least one first line buffer for outputting the two-dimensional pixel information into a line-wise data line; an operator for performing a convolution operation on the basis of the data line data; and at least one second line buffer for outputting the data line on which the operation has been performed.
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公开(公告)号：US20230276023A1
公开(公告)日：2023-08-31
申请号：US18088646
申请日：2022-12-26
Inventor： Mun Churl KIM , Yong Woo KIM , Jae Seok CHOI
IPC: H04N7/01 , H04N19/124 , G06N3/08 , G06T3/40 , G06T1/20
CPC classification number: H04N7/0117 , G06N3/08 , G06T1/20 , G06T3/4007 , G06T3/4046 , G06T3/4053 , H04N19/124 , G06N3/04
Abstract: Disclosed are an image processing method and device using a line-wise operation. The image processing device, according to one embodiment, comprises: a receiver for receiving an image; at least one first line buffer for outputting the image into a line-wise image line; a first convolution operator for generating a feature map by performing a convolution operation on the basis of the output from the first line buffer; and a feature map processor for storing the output from the first convolution operator in units of at least one line, and processing so as to output the feature map stored in units of at least one line into a two-dimensional form, wherein at least one convolution operation operates in the form of a pipeline.
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公开(公告)号：US20200349677A1
公开(公告)日：2020-11-05
申请号：US16862958
申请日：2020-04-30
Inventor： Hyunseung LEE , MunChurl KIM , Yongwoo KIM , Jae Seok CHOI , Youngsu MOON , Cheon LEE
Abstract: An image processing apparatus obtains a first output image by applying an image to a first training network model, obtains a second output image by applying the image to a second training network model, and obtains a reconstructed image based on the first output image and the second output image. The first training network model is a model that uses a fixed parameter obtained through training of a plurality of sample images, the second training network model is trained to minimize a difference between a target image corresponding to the image and the reconstructed image.
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公开(公告)号：US20180232853A1
公开(公告)日：2018-08-16
申请号：US15741098
申请日：2016-06-30
Inventor： Munchurl KIM , Jae Seok CHOI
CPC classification number: G06T3/403 , G06T3/4007 , G06T3/4053 , H04N7/01 , H04N7/0117 , H04N7/0145
Abstract: An image conversion method includes: dividing a low-resolution image to generate a plurality of low-resolution image patches having N (N being a natural number of 2 or greater) number of pixels; classifying the low-resolution image patches into a plurality of image categories; converting the low-resolution image patches by using a conversion kernel for each image patch corresponding to its image category among prestored conversion matrices, to generate high-resolution image patches having L (L being a natural number) number of pixels, which is less than the N number of pixels; and arranging the high-resolution image patches to generate a high-resolution image. According to the image conversion method, an operation amount can be reduced compared with a conventional technique, and thus the image conversion method can be implemented in hardware having low complexity. A high quality and high-resolution image can be generated regardless of characteristic information of an image signal.
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