Image Sensing Technology in Computer Vision and Pattern Recognition

Dear Colleagues,

Image sensing technology serves as the foundational bridge between the physical world and its digital interpretation, directly underpinning advancements in computer vision and pattern recognition. The rapid evolution of sensing hardware—from high-resolution and high-dynamic-range sensors to event-based and multispectral cameras—coupled with breakthroughs in deep learning, is continuously redefining the capabilities of imaging systems. These developments enable more robust, efficient, and intelligent extraction of information for a vast array of applications, from autonomous systems and biomedical diagnostics to industrial inspection and augmented reality.

This Special Issue aims to showcase original research and review articles that explore the synergistic integration of novel image sensing technologies with advanced computational methods. We seek contributions that address new theories, innovative algorithms, system-level designs, and significant applications, highlighting both the opportunities and challenges at this interdisciplinary frontier.

Potential topics include, but are not limited to, the following:

• Advanced Image Sensors and Hardware: Novel pixel architectures, neuromorphic/event-based vision sensors, multispectral/hyperspectral imaging, and 3D sensing (ToF, structured light, stereo).
• Computational Imaging and Image Reconstruction: Models and algorithms for image restoration, super-resolution, denoising, and reconstruction from novel sensor data.
• Deep Learning for Sensing and Perception: Architectures tailored for raw sensor data, sensor-fusion networks, self-supervised learning for perception, and efficient models for embedded vision.
• Feature Representation and Pattern Recognition: Advanced descriptors, few-shot learning, and interpretable pattern recognition methods driven by sensed data.
• Vision Systems for Autonomous Platforms: Image sensing and perception for robotics, autonomous vehicles, and drones in complex environments.
• Biomedical and Scientific Image Analysis: Sensing and interpretation for medical diagnosis, microscopy, and remote sensing.
• Low-level Vision and Image Processing: Tasks enhanced by sensor physics, such as enhanced imaging in low-light, under-water, or adverse weather conditions.
• Embedded and Real-time Vision Systems: Co-design of sensing and processing hardware/software for edge computing.

We look forward to receiving your valuable contributions.

Dr. Longjun Liu
Guest Editor

Manuscript Submission Information

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