Advanced Image Processing and Computational Intelligence: Methodologies and Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: 20 June 2025 | Viewed by 194
Special Issue Editors
Interests: machine learning; smart healthcare; pattern recognition; image processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Image processing is a broad area, including image enhancement, feature extraction, registration, segmentation, classification, etc. It is widely used in our daily lives. For instance, we can utilize image denoising techniques to process photos taken from mobile phones and then enhance the image quality of these photos. Generally, image processing involves many mathematical approaches, which are investigated to develop various new applications. Computational intelligence typically employs nature-inspired computational approaches to solve complex real-world issues. Examples include using neural network models to perform specific classification tasks and applying evolutionary computation for optimization. The aim of this topic is to highlight recent advanced methodologies and applications in image processing and computational intelligence.
Topics of interest include, but are not limited to, the following:
- Advanced machine learning methods and applications for image processing;
- Advanced deep learning methods and applications for image processing;
- Advanced pattern recognition methods and applications for image processing;
- Image super-resolution/denoising/enhancing/restoration;
- Advanced techniques in image processing;
- Advanced methods and applications in neural networks;
- Advanced methods and applications in evolutionary computation;
- Advanced techniques in computational intelligence;
- Multi-view/modal learning and fusion;
- Subspace learning and clustering.
Dr. Qi Zhang
Dr. Jianhang Zhou
Guest Editors
Manuscript Submission Information
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Keywords
- machine learning
- image processing
- pattern recognition
- computational intelligence
- deep learning
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