Abstract:
The present disclosure relates to the field of information display, and specifically to a method, device, computer readable storage medium, and electronic device for video frame interpolation. The method comprises: obtaining, based on two input frames, two initial optical flow maps corresponding to the two input frames; optimizing the initial optical flow maps to obtain target optical flow maps; obtaining an interpolation frame kernel, two depth maps and two context feature maps based on the two input frames; obtaining an output frame using a frame synthesis method based on the target optical flow maps, the depth maps, the context feature maps, and the interpolation frame kernel.
Abstract:
An image processing method and apparatus, a device, a video processing method and a storage medium are provided. The image processing method includes: receiving an input image; and processing the input image by using the convolutional neural network to obtain an output image. A definition of the output image is higher than a definition of the input image. Processing the input image by using the convolutional neural network to obtain the output image includes: performing feature extraction on the input image; concatenating the input image and the plurality of first images; performing the feature extraction on the first image group; fusing the plurality of second images and the plurality of first images; concatenating the input image and the plurality of third images to obtain a second image group; and performing the feature extraction on the second image group to obtain the output image.
Abstract:
A trash sorting and recycling method, a trash sorting device and a trash sorting and recycling system are provided. The trash sorting and recycling method includes: acquiring a detection image of trash to be sorted; processing the detection image with a deep learning neural network to judge whether or not the trash to be sorted belongs to recyclable trash; if yes, sending a first control signal, to control to deliver the trash to be sorted into a recycling region; if no, sending a second control signal, to control to deliver the trash to be sorted into a non-recycling region.
Abstract:
The present invention provides a method and a system for overlaying an image in a video stream. The method comprising steps of: acquiring an image element signature including at least one image element from the video stream; determining whether the image element signature matches an image to be overlaid; and overlaying the image when the image element signature is determined to match the image to be overlaid.
Abstract:
The present disclosure relates to the field of display technology, and provides a video image mosaic system and a video image mosaic method. The video image mosaic system comprises an image signal source, an FPGA at least including image receivers, image scalars and image transmitters, and a DDR. The image signal source is connected to the image receivers, the DDR is connected to the image receivers and the image scalars, and the image scalars are connected to the image transmitters respectively.
Abstract:
The display processing system according to an embodiment of the present disclosure may include: at least one receiving module, configured to receive source three-dimensional (3D) display data for a source 3D display mode and transmitted in a source data transmission format; a first converting module, configured to convert the source 3D display data into source RGB data; a second converting module, configured to convert the source RGB data into target RGB data for a target 3D display mode; a third converting module, configured to convert the target RGB data into target 3D display data in a target data transmission format; and a transmitting module, configured to transmit the target 3D display data in the target data transmission format to a data driving circuit connected with a display panel.
Abstract:
An image processing method and apparatus, a device, a video processing method and a storage medium are provided. The image processing method includes: receiving an input image; and processing the input image by using the convolutional neural network to obtain an output image. A definition of the output image is higher than a definition of the input image. Processing the input image by using the convolutional neural network to obtain the output image includes: performing feature extraction on the input image; concatenating the input image and the plurality of first images; performing the feature extraction on the first image group; fusing the plurality of second images and the plurality of first images; concatenating the input image and the plurality of third images to obtain a second image group; and performing the feature extraction on the second image group to obtain the output image.
Abstract:
The present disclosure relates to the field of image processing technology, and in particular, to image encoding, decoding methods and devices, an encoder-decoder. The method includes: acquiring a visual saliency heat map of an image of a current frame, and filtering, by using the visual saliency heat map of the image of the current frame, the image of the current frame to obtain a target image; acquiring, by using the target image and an input image of a next frame, a motion estimation vector and a target prediction image of the input image of the next frame; and encoding a difference image between the input image of the next frame and the target prediction image and the motion estimation vector.
Abstract:
Provided are a method for enhancing a video resolution enhancement, a computer readable storage medium, and an electronic device. The method includes: obtaining multiple image frames as input data, and obtaining initial data by performing feature extraction on the input data using a first three-dimensional convolutional layer; obtaining first feature data by performing down-sampling on the initial data at a preset multiple; obtaining first reference data by performing a convolution operation on the first feature data using a second three-dimensional convolutional layer to merge the first feature data as one frame; and obtaining first output data by performing up-sampling on the first reference data at the preset multiple.
Abstract:
The present application discloses a color image processing method, a color image processing device, an electronic ink screen, and a storage medium. The color image processing method includes: obtaining an original image, and transforming original color data of a pixel in the original image into corresponding set color data in a set color space; determining a target color corresponding to the pixel in a plurality of set colors according to the set color data corresponding to the pixel and a color ratio allocation table; and generating a target image according to the target color.