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Image Processing Software Product List

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Geometric transformation using machine learning 'KRM' and arbitrary zoom 'SRSZ'

Geometric transformation using machine learning 'KRM' and arbitrary zoom 'SRSZ'

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.

  • Image Processing Software
  • Image Processing Software

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Demosaicing using machine learning "AIRD"

Demosaicing using machine learning "AIRD"

No more zipper noise! Super-resolution RAW processing technology that removes optical LPF and diffraction blur.

"AIRD (Artificial Intelligence Retina Development, formerly Phase Shift Development)" is a super-resolution RAW development technology using machine learning. It is suitable for RAW development for Optical Learning. It eliminates zipper noise and removes blur caused by optical LPF and diffraction. Additionally, it prevents the occurrence of false colors and improves the resolution of red, blue, green, and monochrome, reducing artifacts such as jaggies. 【Features】 ■ Suitable for RAW development for Optical Learning ■ Removes blur caused by optical LPF and diffraction ■ Reduces sensor noise ■ Minimizes the emphasis on demosaicing degradation *For more details, please refer to the PDF document or feel free to contact us.

  • Other optical parts
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  • Image Processing Software

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[Data] Detection of Concrete Cracks

[Data] Detection of Concrete Cracks

Detection of Concrete Cracks Using Machine Learning and RAW with Ultra-High-Definition Images

This document discusses the detection of concrete cracks using machine learning and ultra-high-definition images obtained from RAW data. By processing RAW data output from commercially available digital cameras through techniques such as restoration and synthesis using machine learning, we can enhance the detection accuracy of concrete cracks by producing high-definition images that are undistorted, similar to human vision. [Contents (excerpt)] ■ Introduction ■ Image processing using machine learning ■ Super Resolution Stepless Zoom technology ■ Keep Resolution Mapping for geometric transformation ■ Optical Learning for aberration restoration *For more details, please refer to the PDF document or feel free to contact us.

  • Image analysis software
  • Other image-related equipment
  • Image Processing Software

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