New Applications of Super-Resolution Technologies in Image Enhancement
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Circuit and Signal Processing".
Deadline for manuscript submissions: 15 April 2025 | Viewed by 65
Special Issue Editors
Interests: high-resolution images; infrared imaging; low-resolution images; convolutional neural network; evaluation methodology; feature maps; generative adversarial networks; single image super-resolution; super-resolution problem; thermal image super-resolution; deep learning for computer vision
Interests: reconfigurable computing; FPGA; biomedical devices; beamforming; microphone array; high-level synthesis; embedded medical systems; PPG signal processing
Special Issues, Collections and Topics in MDPI journals
Interests: image processing; image analysis; cell tracking
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The field of image enhancement has undergone a significant transformation with the emergence of super-resolution technologies. While traditional methods have served us well, the ever-increasing demands of modern applications necessitate further advancements. The rapid pace of innovation in application environments and detection technologies drives the need for enhanced image enhancement techniques, particularly those offering a higher resolution to capture and distinguish the finest details. By addressing these challenges, SR technologies can unlock a new era of possibilities in numerous fields. In medical diagnostics, SR could enable the visualization of intricate cellular structures, leading to improved diagnoses. Material science stands to benefit from SR’s ability to facilitate the inspection of microscopic defects, enhancing quality control. Remote sensing could witness significant progress with SR technology, capturing clearer images of distant objects and facilitating improved environmental monitoring and resource exploration. Additionally, security applications can leverage SR to enhance image clarity for surveillance and threat detection.
This Special Issue aims to gather cutting-edge research exploring novel applications of super-resolution technologies in image enhancement. We invite leading researchers and developers from both academia and industry to submit their innovative findings that push the boundaries of this field. Submitted papers will undergo a rigorous peer-review process, ensuring the publication of high-quality research aligned with the core themes of this Special Issue.
The scope includes, but is not limited to, the following:
- Medical Imaging;
- Surveillance and Security Systems;
- Remote Sensing;
- Microscopy;
- Quality Control in Manufacturing;
- Autonomous Vehicles;
- Augmented Reality and Virtual Reality;
- Astrophotography;
- Archeological imaging;
- Environmental monitoring
Dr. Feras Almasri
Dr. Bruno Da Silva
Dr. Olivier Debeir
Guest Editors
Manuscript Submission Information
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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
- computational imaging
- image enhancement
- deep learning
- single-image super-resolution
- multi-frame super-resolution
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