Recent Innovations in Computational Imaging and Sensing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 25 August 2025 | Viewed by 114
Special Issue Editor
Interests: generative models; deep learning; multi-task learning; computational imaging and sensing; computer vision; computer graphics; signal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The field of computational imaging and sensing has become a significant and widely explored area of research in recent times. Across various applications, similar challenges arise that demand advanced mathematical, statistical, and algorithmic methods. This vibrant field thrives at the intersection of computational techniques and physical devices, leveraging cutting-edge tools to drive transformative progress in imaging speed, signal clarity, and data processing. The interplay between mathematical theories, physical principles, and innovative algorithms has enabled impactful advancements across fields such as X-ray imaging, optics, terahertz technology, astronomy, MRI, radar, biology, medicine, and seismic studies.
This Special Issue aims to contribute to this dynamic area ranging from foundational theoretical developments to real-world system implementations and case studies, advancing both the science and practical applications of modern imaging systems.
Potential topics include but are not limited to:
- Computational imaging: machine learning, inverse problems, and model-based methodologies
- Image reconstruction: recovery, denoising, super-resolution, and depth-of-field optimization, color correction, deblurring, and data reconstruction
- Sensor-based processing: compressive sensing and phase retrieval
- Medical and scientific imaging: tomography, MRI, molecular imaging, ultra-fast imaging, microscopy
- Coherent imaging: holography, optical coherence, and coded aperture techniques
- Remote sensing: radar, LIDAR, and synthetic aperture imaging systems
- Industrial applications: imaging solutions for commercial and technical environments
Dr. Rakib Hyder
Guest Editor
Manuscript Submission Information
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Keywords
- computational imaging
- image reconstruction
- machine learning
- inverse problems
- compressive sensing
- medical imaging
- coherent imaging
- remote sensing
- tomography
- industrial applications
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