By combining phase shift using machine learning and aperture correction using machine learning, restoration can be achieved 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 continuous 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 Inc. provides licensing of intellectual property related to image processing (such as our Optical Learning® technology), software development and sales, and technical consulting services. We support our partner companies by offering differentiated technologies related to image processing, thereby enhancing their product capabilities and increasing their revenue. 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.