Author details
Author's Published Works
Author details
Showing 1-5 of 5 results
- Sort
Sort By
Results
Low-light image enhancement technology is mainly used to process the images which are taken under the conditions of short exposure time of the device or dark ambient light. Aiming at the effective enhancement of the brightness of images and the preservation of the details as well, a light enhancement algorithm based on Retinex is proposed. First of all, a decomposition network is built based on Co...Show More
APBAO: Adaptive and Parallel Beetle Antennae Optimization
Xuan Liu;Chenyan Wang;Xiangyu Qu;Chang Xu;Zheng Liu;Shan Jiang
Beetle Antennae Search Algorithm (BAS) is a new single-agent intelligent optimization algorithm, which low computational complexity, ease of implementation and fast convergence speed in low-dimensional function optimization. Based on BAS, this paper proposes Adaptive and Parallel Beetle Antennae Optimization Algorithm (APBAO), which evolves from a single iterative individual in BAS to multiple par...Show More
Images captured in low-light settings often manifest issues, notably reduced brightness and amplified noise. Addressing these concerns, our research elucidates a sophisticated technique crafted to enhance the fidelity of images taken under such adverse circumstances. During the image acquisition phase, the camera sensor meticulously logs the raw RGB data. This information subsequently undergoes a ...Show More
Multimodal Sentiment Analysis With Image-Text Correlation Modal
2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Multi-modality sentiment analysis in the Social Internet of Things (SIoT) is an emerging area of study. The integration of information from different modalities is the essence of multi-modal sentiment analysis tasks. In social networks, there is often a correspondence between the text and images within a comment. Users tend to use emotionally charged words to describe the subjects in the images. T...Show More
CSARUNet: an attention mechanism-based model for image tampering localization with ringed residual block
2023 International Joint Conference on Neural Networks (IJCNN)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Nowadays, image tampering technology is becoming more and more mature, tampered images have posed a serious threat to personal privacy, social order, and national security, so techniques for detecting and locating tampered areas in an image are gaining attention. Most existing methods use convolutional blocks to build networks to accomplish this task, without considering the local receptive fields...Show More
IEEE Account
Purchase Details
Profile Information
Need Help?
- US & Canada: +1 800 678 4333
- Worldwide: +1 732 981 0060
- Contact & Support
- About IEEE Xplore
- Contact Us
- Help
- Accessibility
- Terms of Use
- Nondiscrimination Policy
- Sitemap
- Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.