Special Issue "Deep Learning-Based Image Sensors"
Deadline for manuscript submissions: 30 June 2019
Prof. Euntai Kim
Recent developments have led to the widespread use of deep learning-based image sensors, such as visible light, near-infrared (NIR), and thermal camera sensors, in a variety of applications in video surveillance, biometrics, image compression, computer vision, and image restoration, etc. While existing technology has matured, its performance is still affected by various environmental conditions, and recent approaches have been attempted to fuse deep learning techniques with conventional methods to guarantee higher accuracy. The goal of this Special Issue is to invite high-quality, state-of-the-art research papers that deal with challenging issues in deep learning-based image sensors. We solicit original papers of unpublished and completed research that are not currently under review by any other conference/magazine/journal. Topics of interest include, but are not limited to, the following:
- Deep learning-based image processing, understanding, recognition, compression, and reconstruction by visible light, NIR, thermal camera, and multimodal camera sensors
- Deep learning-based video processing, understanding, recognition, compression, and reconstruction by various camera sensors
- Deep learning-based computer vision
- Deep learning-based biometrics and spoof detection
- Deep learning-based object detection and tracking
- Approaches that combine deep learning techniques and conventional methods on images by various camera sensors
Prof. Dr. Kang Ryoung Park
Prof. Dr. Sangyoun Lee
Prof. Dr. Euntai Kim
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Image processing, understanding, recognition, compression, and reconstruction based on deep learning
- Video processing, understanding, recognition, compression, and reconstruction based on deep learning
- Computer vision based on deep learning
- Biometrics based on deep learning
- Fusion of deep learning and conventional methods