Low Power Architectures for Digital Video and Image Compression
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 633
Special Issue Editors
Interests: camera calibration; computer vision; image processing; signal processing
Special Issues, Collections and Topics in MDPI journals
Interests: robotics; deep learning; computer vision; autonomous system
Special Issue Information
Dear Colleagues,
Compression of static or dynamic image data is one of the most crucial topics in image processing, digital imaging, computer vision, pattern recognition, artificial intelligence, etc. In particular, digital images (including video images) require high computational complexities with the popularity of using deep neural network models. Therefore, low power consumption from low computational complexity is one of the most practical issues in industrial fields. Thus, advanced architecture design for image and video processing is required from software and hardware perspectives. This Special Issue chiefly deals with innovative solutions for image and video compressions, including efficient architecture design with efficient algorithm development. Authors are encouraged to submit high-quality and up-to-date research contributions.
Dr. Deokwoo Lee
Dr. Andrew Jaeyong Choi
Dr. Eungjoo Lee
Guest Editors
Manuscript Submission Information
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Keywords
- digital image processing
- image processing
- image compression
- video processing
- video compression
- video/image restoration
- deep learning-based video/image processing
- deep learning-based video/image compression
