IMAGE ENCODING, DECODING METHOD AND DEVICE, CODER-DECODER

    公开(公告)号:US20250063204A1

    公开(公告)日:2025-02-20

    申请号:US18818831

    申请日:2024-08-29

    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.

    METHOD AND DEVICE FOR GENERATING FACE IMAGE, ELECTRONIC DEVICE AND COMPUTER READABLE STORAGE MEDIUM

    公开(公告)号:US20210049350A1

    公开(公告)日:2021-02-18

    申请号:US16937175

    申请日:2020-07-23

    Abstract: The present disclosure discloses a method for generating a face image, an electronic device, and a non-transitory computer-readable storage medium, the method includes: receiving a first face image and target facial expression information, and determining first facial expression information corresponding to the first face image; selecting a first reference face image matched with the first facial expression information and a second reference face image matched with the target facial expression information from a face image library; respectively extracting feature points in the first reference face image and the second reference face image, and determining face deformation information between the first reference face image and the second reference face image based on the feature points; and extracting feature points in the first face image, and generating a second face image based on the face deformation information and the feature points in the first face image.

    IMAGE SEGMENTATION APPARATUS, METHOD AND RELEVANT COMPUTING DEVICE

    公开(公告)号:US20200334819A1

    公开(公告)日:2020-10-22

    申请号:US16651946

    申请日:2019-09-19

    Abstract: The present disclosure provides an image segmentation apparatus, method and relevant computing device. The image segmentation apparatus comprises: a feature extractor configured to extract N image semantic features having different scales from an input image, where N is an integer not less than 3; and a feature processor comprising cascaded dense-refine networks and being configured to perform feature processing on the N image semantic features to obtain a binarized mask image for the input image. A dense-refine network is configured to generate a low-frequency semantic feature from semantic features input thereto by performing densely-connected convolution processing on the semantic features respectively to obtain respective image global features, performing feature fusion on the image global features to obtain a fused image global feature, and performing pooling processing on the fused image global feature to generate and output the low-frequency semantic feature. The semantic features are selected from a group consisting of the N image sematic features and low-frequency semantic features generated by dense-refine networks. The feature processor is configured to obtain the binarized mask image based on low-frequency semantic features generated by the dense-refine networks.

    METHOD AND APPARATUS FOR VIDEO PROCESSING, AND READABLE STORAGE MEDIUM

    公开(公告)号:US20250086763A1

    公开(公告)日:2025-03-13

    申请号:US18561588

    申请日:2022-12-23

    Abstract: A method and an apparatus for video processing, and a non-instantaneous readable storage medium. The method for video processing includes: dividing a plurality of video frames in an initial video into a plurality of video segments; determining, based on one frame of the one or more video frames, a display parameter set of a video segment to which the one frame belongs; adjusting other frames in the video segment based on the display parameter set to acquire an intermediate video segment; performing a high dynamic range conversion on the intermediate video segment to acquire a high dynamic range video segment; generating a high dynamic range video based on the high dynamic range video segment. Each of the plurality of video segments comprises one or more video frames, and the plurality of video frames are consecutive.

    METHOD FOR TRAINING IMAGE PROCESSING MODEL, AND METHOD FOR GENERATING HIGH DYNAMIC RANGE IMAGE

    公开(公告)号:US20240202891A1

    公开(公告)日:2024-06-20

    申请号:US17910020

    申请日:2021-09-17

    CPC classification number: G06T5/92 G06T5/50 G06T2207/20081 G06T2207/20208

    Abstract: A method for training an image processing model includes: inputting a low dynamic range image into a first initial image processing model, so that a high dynamic range reconstruction processing is performed on the low dynamic range image to generate a first high dynamic range image; inputting the low dynamic range image into a second initial image processing model to generate a first coefficient; generating a second high dynamic range image according to the first high dynamic range image and the first coefficient; generating a loss function according to data pairs of the second high dynamic range image and a real high dynamic range image, the real high dynamic range image corresponding to the low dynamic range image; and training the first initial image processing model and the second initial image processing model with the loss function.

    METHOD AND DEVICE FOR PROCESSING IMAGE, METHOD FOR TRAINING IMAGE PROCESSING MODEL, AND STORAGE MEDIUM

    公开(公告)号:US20230069654A1

    公开(公告)日:2023-03-02

    申请号:US17774610

    申请日:2021-05-14

    Abstract: An image processing method and an image processing model training method and device. The image processing method comprises: obtaining a first original image to be processed (S101), and downsampling and blurring said first original image according to a configured downsampling processing algorithm and blur parameter to obtain a degraded image (S102). In the method, a new photo can be downsampled and blurred to obtain the degraded image similar to an old photo, and a good training sample is provided for the application of machine learning in the old photo restoration technology. An image processing model applied in the old photo restoration technology is trained on the basis of the training sample, so as to obtain the image processing model having stronger restoration capability, and when the old photo is restored by using the image processing model, the restoration efficiency is higher, and the restoration effect is better.

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