Hangzhou Hikvision Digital Technology Co., Ltd.

Lulu Zhou

Xiaoyang Wu

Shiliang Pu

Li Wang

Di Xie

Jianhua Chen

Embodiments of the present application provide a method, apparatus, and electronic device for eliminating distortion of a distorted image. Side information components of a distorted image are generated. The distorted image is resulted from image processing on an original image. Side information components represent distortion features of the distorted image with respect to original image. Distorted image color components of the distorted image and the side information components are input into a pre-established convolutional neural network model for convolution filtering to obtain distortion-eliminated image color components. The convolutional neural network model is obtained through training based on a preset training set. The training set comprises original sample images, distorted image color components of multiple distorted images corresponding to each of the original sample images, and side information components of each of the distorted images. Thereby, a CNN-based distortion elimination process different from related art is provided.

Image distortion correction method and device and electronic device

A bit rate control method device obtains a bit rate control mode and coding control parameters of a current short period in a long period, determines a frame-level coding parameter of the current short period, and transmits the frame-level coding parameter to an encoder. Second bit stream information is obtained and statistical analysis is performed which includes complexity information of the current video frame, the number of the encoded bits in the current short period, and coding quality information of the current short period, so as to encode a video frame of the next, adjacent short period by calculating a frame-level coding parameter of the next, adjacent short period. By the present solution, the storage space is allocated reasonably under the condition that the image satisfies a certain quality.

Growing community of inventors

Zhejiang, China

Lulu Zhou