By combining phase shift using machine learning and aperture correction using machine learning, it can be restored without resolution degradation.
"Keep Resolution Mapping (Super Resolution Geometric Transformation)" is a unique technology that performs geometric transformations without reducing resolution using machine learning. "Super Resolution Stepless Zoom" is a stepless electronic zoom utilizing machine learning.
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basic information
Geometric transformations (trapezoidal correction) and continuous zoom can be restored freely without resolution degradation. (Conventional learning-based super-resolution could only restore to a predetermined teacher resolution.)
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Applications/Examples of results
- Zoom for cameras, microscopes, and displays - Keystone correction for projectors - Angle adjustment for cameras
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Company information
Realop Co., Ltd. provides image processing-related intellectual property rights licensing (such as our Optical Learning® technology), software development and sales, and technical consulting services to offer differentiated image processing technologies to our partner companies, supporting their revenue growth by enhancing their product capabilities. With years of experience, we develop learning-based super-resolution algorithms that take into account the characteristics of hardware and GPUs, so please feel free to contact us if you have any requests.
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