Special Issue "Advances in Image Fusion"
Deadline for manuscript submissions: 14 September 2021.
Interests: machine learning; computer vision; information fusion; image super resolution; hyperspectral image analysis; infrared imaging; image denoising
Special Issues and Collections in MDPI journals
Interests: image fusion; image super-resolution; visual recognition; biomedical image analysis; machine learning; computer vision
Interests: image super-resolution; image denoising; video processing; hyperspectral image analysis; image fusion; visual recognition; machine learning
Interests: person re-identification; image retrieval; crowd counting; image enhancement; multimedia content analysis
Assistant Guest Editor
Interests: computer vision; image fusion; deep learning
Many engineering, medical, remote sensing, environmental, national defense, and civilian applications require multiple types of information. Some examples are multimodality images; images with multiple exposure or focus settings; and images including multispectral, hyperspectral, and panchromatic images, ect. A single type of information can merely represent a part of the scene information, while the combination of multiple types of information can provide a comprehensive characterization. However, the deficiency is that the redundant multiple types of information take up much unnecessary storage space. Thus, the challenge of generating aligned and synthesized results by integrating complementary information has gained significant attention, both from storage space and visual perception viewpoints.
The implementation of information fusion is often hindered by different understandings of information, the definitions of meaningful information for subsequent tasks, the ways of information decomposition, the methods used to distinguish complementary information from redundant information, and the design of fusion rules, ect. Further progress on these issues calls for clearer physical explanations of these methods and definitions. Contributions addressing any of these issues are welcome.
This Special Issue aims to be a forum for new and improved information fusion techniques, which are not restricted to image fusion. Considering that there are inevitable offsets in the information collection process and that source images may sometimes be of low quality, it is likely that fusion techniques involving image registration and image enhancement will gain more popularity. In addition, fusion performance evaluation is also a significant factor in designing a good fusion algorithm. Therefore, studies on image quality assessment techniques, such as image-entropy-based methods, are welcome in this Special Issue.
Prof. Dr. Jiayi Ma
Dr. Yu Liu
Prof. Dr. Junjun Jiang
Dr. Zheng Wang
Ms. Han Xu
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. Entropy is an international peer-reviewed open access monthly 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.
- visible and infrared image fusion
- medical image fusion
- multi-exposure image fusion
- multi-focus image fusion
- remote sensing image fusion
- image registration
- image super-resolution
- image enhancement and image super-resolution
- image quality assessment
- information fusion
- fusion applications