Application of AI in Image/Video Processing
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 July 2026 | Viewed by 147
Special Issue Editors
Interests: perceptual image processing; computational photography; generative AI
Interests: image quality assessment; video quality assessment; signal processing
Special Issue Information
Dear Colleagues,
Artificial intelligence, and deep learning in particular, has become a key driver of progress in image and video processing. Advances in computational power and data availability have enabled deep neural networks to handle complex visual information, leading to significant improvements in how images and videos are enhanced, restored, transformed, and generated. These innovations are now central to many application areas where high-quality visual content is essential.
This Special Issue focuses specifically on AI-based image and video processing, with an emphasis on methods that directly improve visual quality. Relevant topics include super-resolution, denoising, deblurring, dehazing, deraining, artifact removal, frame interpolation, and AI-assisted compression. A further area of interest is image and video quality assessment, which plays a crucial role in evaluating and guiding the development of modern processing algorithms, especially in the era of generative and learning-based models.
Because image and video processing is highly interdisciplinary, this Special Issue welcomes submissions from diverse fields such as medical imaging, remote sensing, surveillance, autonomous systems, computational photography, multimedia, and extended reality. Contributions may address theoretical developments, innovative algorithms, practical implementations, or new applications.
The main topics of this Special Issue include the following:
- Image and video enhancement, restoration, and super-resolution;
- Denoising, deblurring, dehazing, and artifact removal;
- Video frame interpolation and motion-based processing;
- AI-driven image/video compression;
- Generative (diffusion, flow matching, autoregressive, etc.) for visual content;
- Image/video quality assessment;
- Efficient, lightweight, or real-time processing models.
This Special Issue is not limited to these areas. Submissions should present novel methods or applications that advance the state of the art in AI-based image and video processing.
Dr. Weixia Zhang
Dr. Wei Sun
Dr. Zhihua Wang
Guest Editors
Manuscript Submission Information
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Keywords
- image/video enhancement and restoration
- generative image/video editing
- computational photography
- visual processing agent
- image/video quality assessment
- real-time visual processing models
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