Deep Learning-Based Image Restoration and Object Identification
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 June 2024 | Viewed by 5252
Special Issue Editors
Interests: image restoration; object tracking and re-identification
Interests: object tracking; action recognition; image restoration
Special Issue Information
Dear Colleagues,
Image restoration/object identification is one of the challenging tasks of computer vision applications. Image restoration is essential to guarantee the success of subsequent stages of computer vision applications, such as detection and segmentation, since it can recover useful textural and structural information and eliminate the effect of irrelevant information. Object identification is a computer vision technology that deals with recognizing instances of semantic objects (such as humans, buildings, or cars) in images and videos. Object identification has attracted increasing attention in recent years due to its wide range of applications, such as security monitoring, autonomous driving, transportation surveillance, and robotic vision. This Special Issue aims to explore recent advances and trends in the use of deep learning and computer vision methods for image restoration/object identification and seeks original contributions that point out possible ways to deal with image data recovery and identification. This includes but is not limited to deep learning techniques, low-level image processing, image restoration, object recolonization/detection, and person/car re-identification.
Dr. Qiang Wang
Dr. Weihong Ren
Dr. Huijie Fan
Guest Editors
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 submissions that pass pre-check are 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. Electronics 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 2400 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.
Keywords
- image restoration
- object identification
- person re-identification
- object detection and tracking
- autonomous driving
- scene understanding
- transfer learning