The Journal of Mathematical Imaging and Vision (JMIV) presents high-quality research on mathematical and computational aspects of imaging and vision. It serves as a key platform for scientists, engineers, and mathematicians to share advancements that bridge theoretical foundations with practical applications. This is essential for understanding how mathematical frameworks can enhance imaging and vision technologies.
Key areas of coverage include image processing, image analysis, computer vision, and pattern recognition. JMIV focuses on algorithms, models, and mathematical techniques used in image reconstruction, image segmentation, and object recognition. They include applications in medical imaging, remote sensing, and industrial inspection. The journal strongly focuses on mathematical modeling and optimal control. With its rigorous standards and emphasis on mathematical rigor, the Journal of Mathematical Imaging and Vision provides essential reading for researchers seeking to advance the frontiers of imaging and vision.