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Image Processing Softwareの製品一覧

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Demosaicing using machine learning "AIRD"

No more zipper noise! Super-resolution RAW development 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 well-suited 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 color artifacts, improves the resolution of red, blue, green, and monochrome, and reduces jaggies. 【Features】 ■ Well-suited for RAW development for Optical Learning ■ Removes blur caused by optical LPF and diffraction ■ Reduces sensor noise ■ Suppresses the emphasis on demosaicing degradation *For more details, please refer to the PDF document or feel free to contact us.

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[Data] Detection of Concrete Cracks

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

This document discusses the detection of concrete cracks using machine learning and ultra-high-definition images 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 ■ Keep Resolution Mapping ■ Optical Learning *For more details, please refer to the PDF document or feel free to contact us.

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