Title: Real-time frequency adaptation in carrier communication algorithm based on 2sVCNet network
Authors: Peidong He; Shuyu Deng; Xiaojun Li; Xianzhong Li; Chengcheng Yao
Addresses: State Grid Sichuan Electric Power Company Marketing Service Center, Chengdu, Sichuan 610045, China ' State Grid Sichuan Electric Power Company Marketing Service Center, Chengdu, Sichuan 610045, China ' State Grid Sichuan Electric Power Company Marketing Service Center, Chengdu, Sichuan 610045, China ' State Grid Sichuan Electric Power Company, Chengdu, Sichuan 610045, China ' State Grid Sichuan Electric Power Company, Information and Communication Company, Chengdu, Sichuan 610045, China
Abstract: With the rapid development of the internet, electricity meter engineering operation has become one of the most popular information dissemination electricity meter engineering operations nowadays, and the electricity meter engineering operation data on the internet is constantly increasing, and the following problem is that the improper use of electricity meter engineering operation is also becoming more and more extensive. The motion compensation module uses adaptive separable convolution to replace the traditional optical flow estimation algorithm, which can well handle the curve motion problem between pixels that cannot be solved by the optical flow method. For different electricity meter engineering operation frames, the motion compensation module predicts the convolution kernel that conforms to the image structure and the local displacement of the pixel, and realises the motion offset estimation and pixel compensation of the pixels of the following frame by means of local convolution. It is trained and tested on the same training set and test set as the current state-of-the-art multi-frame quality enhancement (MFQE) algorithm. The experimental results verify the proposed network has a good effect of electricity meter engineering operation artefacts.
Keywords: electricity meter engineering operation compressed; deep learning; convolution; multi-frame quality enhancement; MFQE.
DOI: 10.1504/IJICT.2025.145408
International Journal of Information and Communication Technology, 2025 Vol.26 No.6, pp.1 - 20
Received: 25 Dec 2023
Accepted: 02 Feb 2024
Published online: 31 Mar 2025 *