Advanced Signal and Image Processing Techniques for Sensor Applications—2nd Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 10 December 2026 | Viewed by 198
Special Issue Editors
Interests: signal processing; image processing; pattern recognition; communications; power electronics; computer vision; machine learning; biomedical engineering; smart grids; RF; radar; remote sensing; hyper-spectral imaging; education
Special Issues, Collections and Topics in MDPI journals
Interests: sensor signal processing; image processing pattern recognition; machine learning; radar signal processing; intelligent infrastructure systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Following the success of the previous Special Issue, “Advanced Signal and Image Processing Techniques for Sensor Applications”, we are pleased to announce the next Issue in the series, entitled “Advanced Signal and Image Processing Techniques for Sensor Applications—2nd Edition”.
With the rapid advancement of sensor technology, vast and continuously growing volumes of data across diverse domains and modalities have become readily available. However, the direct presentation of raw sensor data is sometimes inappropriate due to the presence of noise, distortion, and other artifacts. To extract relevant and meaningful information from sensor data, further enhancement of acquired signals—such as noise reduction in one-dimensional electroencephalographic (EEG) signals or color correction in endoscopic images—together with their analysis using computer-based medical systems, is required. Data processing and the subsequent extraction of useful information therefore play a central role and are key themes of this Special Issue.
This Special Issue of Sensors aims to highlight advances in the development, testing and application of signal and image processing algorithms and techniques for a wide range of sensors and sensing methodologies. Experimental and theoretical contributions, as well as original research articles and review papers, are welcome.
Research areas may include, but are not limited to, the following:
- Advanced sensor characterization techniques;
- Ambient assisted living;
- Biomedical signal and image analysis;
- Signal and image processing (e.g., deblurring, denoising, super-resolution);
- Signal and image understanding (e.g., object detection and recognition, action recognition, semantic segmentation, novel feature extraction);
- Internet of Things (IoT);
- Machine learning (e.g., deep learning) in signal and image processing;
- Radar signal processing;
- Real-time signal and image processing algorithms and architectures (e.g., FPGA, DSP, GPU);
- Remote sensing processing;
- Sensor data fusion and integration;
- Sensor error modelling and online calibration;
- Smart environments and smart cities;
- Wearable sensor signal processing and its applications;
- Self-supervised and/or foundation models for signal and image processing from sensor data;
- Multimodal sensor fusion and cross-domain representation learning using heterogeneous sensor data;
- Edge AI, TinyML, and energy-efficient signal and image processing for embedded and real-time sensing platforms.
We look forward to receiving your contributions.
Dr. Jesmin Farzana Khan
Dr. Mandoye Ndoye
Guest Editors
Manuscript Submission Information
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Keywords
- signal processing
- image processing
- machine learning
- wireless sensor networks
- internet of things
- deep neural networks
- dictionary learning
- compressive sensing
- big data
- brain–computer interface
- artificial intelligence
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