Deep Learning and Digital Image Processing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 15 March 2025 | Viewed by 497
Special Issue Editor
Special Issue Information
Dear Colleagues,
With the rapid development of artificial intelligence, deep learning technology, as an important subset of AI, enables models to autonomously infer results from structured datasets without the need for explicit human intervention. Deep learning has far surpassed traditional techniques and even human capabilities. Deep learning has achieved significant results in various image processing tasks, including image classification, object detection, image segmentation, and image enhancement.
This Special Issue on “Deep Learning and Digital Image Processing” seeks high-quality research focusing on the basic principles, core algorithms, network structure designs, and specific applications in image processing of deep learning. Topics include, but are not limited to, the following:
- Deep learning for image super-resolution.
- Object detection, tracking, and recognition.
- Deep learning for image segmentation.
- Neural networks and deep learning.
- Low-level visual understanding and image processing.
- Feature extraction and feature selection.
- Document analysis and recognition.
- Activity recognition.
- Multimedia analysis and inference.
- Remote sensing image interpretation.
- Medical image processing and analysis.
- Visual issues in multimodal information processing.
- Time series analysis.
Dr. Xingjian Gu
Guest Editor
Manuscript Submission Information
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Keywords
- deep learning
- image process
- classification
- video understand
- remote sensing
- medical image
- multi modal
- document analysis
- time series analysis
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