Recent Advances in 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: closed (20 May 2024) | Viewed by 28691
Special Issue Editors
Interests: image enhancement; person re-identification; video super-resolution
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence, computer vision, multimedia information processing, neuromorphic computing
Special Issues, Collections and Topics in MDPI journals
Interests: image restoration; image/video quality assessment; video compression
Interests: image enhancement; image restoration; video super-resolution
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Image processing is the term for performing operations on images, for example, with the aim of enhancing the image, obtaining information from the image, etc. With the great efforts of researchers over the course of decades, algorithms and systems have been developed to make computers as intelligent as humans, by mimicking the human vision system. Moreover, the rapid growth of computational complexity and computer efficiency has allowed for the development of more sophisticated and effective algorithms and tools. Although significant progress has been made so far, many issues remain open, resulting in the need for the development of novel approaches. The aim of this Special Issue on “Advances in Image Processing” is to give researchers the opportunity to provide new trends, the latest achievements and research directions, and to present their current work on important problems in image processing.
Potential topics of interest for this Special Issue include (but are not limited to) the following:
- Image quality assessment;
- Image restoration and enhancement;
- Image semantic segmentation;
- Biomedical image processing;
- Aerial image processing;
- Multispectral image processing;
- Hardware and architecture for image processing;
- Image-processing-oriented datasets;
- Image retrieval and indexing;
- Image compression;
- Low-level and high-level image representation;
- Mathematical methods in image processing, analysis and representation;
- Deep learning tools in image processing;
- Digital watermarking;
- Digital photography.
Dr. Zheng Wang
Dr. Xian Zhong
Dr. Liang Liao
Dr. Kui Jiang
Guest Editors
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Keywords
- image processing
- image enhancement
- deep learning
- image understanding
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