Two-dimensional code image generation method and apparatus, storage medium and electronic device

    公开(公告)号:US11164059B2

    公开(公告)日:2021-11-02

    申请号:US16835809

    申请日:2020-03-31

    Abstract: Disclosed is a two-dimensional code image generation method and apparatus, a storage medium and an electronic device related to the field of two-dimensional code image technology. The method includes obtaining an initial two-dimensional code image and a background image, and performing structured processing on the initial two-dimensional code image according to the background image to obtain a structured two-dimensional code image, performing mode transfer processing on the background image to obtain a background image of a target mode by a mode transfer model, and performing a fusion operation on the structured two-dimensional code image and the background image of the target mode to obtain a target two-dimensional code image.

    Neural network for enhancing original image, and computer-implemented method for enhancing original image using neural network

    公开(公告)号:US11107194B2

    公开(公告)日:2021-08-31

    申请号:US16755044

    申请日:2019-08-19

    Abstract: A neural network is provided. The neural network includes 2n number of sampling units sequentially connected; and a plurality of processing units. A respective one of the plurality of processing units is between two adjacent sampling units of the 2n number of sampling units. A first sampling unit to an n-th sample unit of the 2n number of sampling units are DeMux units. A respective one of the DeMux units is configured to rearrange pixels in a respective input image to the respective one of the DeMux units following a first scrambling rule to obtain a respective rearranged image. An (n+1)-th sample unit to a (2n)-th sample unit of the 2n number of sampling units are Mux units. A respective one of the Mux units is configured to combing respective m′ number of input images to the respective one of the Mux units to obtain a respective combined image.

    Image style conversion method, apparatus and device

    公开(公告)号:US10970830B2

    公开(公告)日:2021-04-06

    申请号:US16421923

    申请日:2019-05-24

    Abstract: The present disclosure relates to a method, an apparatus and a device for converting a style of an image, wherein the method comprises: acquiring a luminance component (Y) and chrominance components (U, V) in a YUV space of an image to be processed; performing a group convolution processing on the luminance component (Y) and the chrominance components (U, V) in the YUV space of the image to be processed to obtain content features and style features of the image to be processed; and performing a fusion processing on the content features, the style features and target style features of the image to be processed to convert the image to be processed into an image of a target style.

    CONVOLUTIONAL NEURAL NETWORK PROCESSOR, IMAGE PROCESSING METHOD AND ELECTRONIC DEVICE

    公开(公告)号:US20210097649A1

    公开(公告)日:2021-04-01

    申请号:US16855063

    申请日:2020-04-22

    Abstract: The present disclosure discloses a convolutional neural network processor, an image processing method and an electronic device. The method includes: receiving, by the first convolutional unit, the input image to be processed, extracting the N feature maps with different scales in the image to be processed, sending the N feature maps to the second convolutional unit, and sending the first feature map to the processing unit; fusing, by the processing unit, the received preset noise information and the first feature map, to obtain the second feature map, and sending the second feature map to the second convolutional unit; and fusing, by the second convolutional unit, the received N feature maps with the second feature map to obtain the processed image.

    Stereo vision measuring system and stereo vision measuring method

    公开(公告)号:US10885670B2

    公开(公告)日:2021-01-05

    申请号:US15941179

    申请日:2018-03-30

    Abstract: A stereo vision measuring system and measuring method are provided. The system includes a main control device and at least two cooperation devices; each of the cooperation devices is a movable device, and is provided with an image acquiring part; the cooperation device is configured to acquire a first image of a first scene and first image information of the first image and transmit them to the main control device in a calibrating phase, and the cooperation device is further configured to acquire a second image of a second scene and second image information of the second image, and transmit the second image information to the main control device in a measuring phase; the main control device is configured to acquire parameter information of the image acquiring parts in the calibrating phase; the main control device is further configured to obtain three-dimensional reconstruction information of the second scene.

    Apparatus and method for protecting a user from blue light radiation

    公开(公告)号:US10459252B2

    公开(公告)日:2019-10-29

    申请号:US15519630

    申请日:2016-10-26

    Abstract: The present application discloses an apparatus for protecting a user's eye from blue light radiation, the apparatus includes a radiation detector configured to convert blue light from a light source into a photo voltage having a voltage value; a processor coupled to the radiation detector and configured to calculate a cumulative radiation intensity based on the voltage value cumulated over a time interval, and to compare the cumulative radiation intensity with a threshold value; and a controller coupled to the processor, configured to adjustably control blocking of at least a portion of blue light from the user's eye when the cumulative radiation intensity exceeds the threshold value.

    METHOD AND DEVICE FOR IMAGE ENCODING AND IMAGE DECODING

    公开(公告)号:US20190166379A1

    公开(公告)日:2019-05-30

    申请号:US16261850

    申请日:2019-01-30

    Abstract: The present disclosure discloses a method and device for image encoding and a method and device for image decoding. The encoding method comprises steps of: downscaling an input high resolution HR image into a low resolution LR image by a downscaler; compressing the LR image using a first compression method; extracting an index value from at least one of the HR image and the LR image; determining a parameter from a parameter database using the index value; compressing the parameter using a second compression method different from the first compression method; and obtaining a data stream by merging the compressed parameter and the compressed LR image.

    Resolving Method and System Based on Deep Learning

    公开(公告)号:US20180089803A1

    公开(公告)日:2018-03-29

    申请号:US15537677

    申请日:2016-06-21

    Abstract: A resolving method and a system, the method includes: creating a sample library by utilization of an original high-resolution (HR) image set; training a convolutional structural network by utilization of the sample library; and obtaining an HR output signal by processing a low-resolution (LR) input signal by utilization of the trained convolutional structural network. In the resolving method and system according to this disclosure, data after expansion may be processed by simple expansion hardware, without a large change algorithm; and complex algorithms are allocated into parallelizing design, and different servers operate mutually independent; and also, due to the modular design, the design proposals of functional modules may be modified by latter optimization.

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