image generation

Chia Unveils The AI-powered Revolutionary Image Generation Platform "SENSEI CODE" for Online Publishers

SENSEI CODE enables online publishers to save, organize, and share content creations while exploring a vast collection of publicly shared images for business. Additionally, all images created using SENSEI CODE are commercially usable.




image generation

Reflection type optical sensor and image generation apparatus

A reflection type optical sensor that detect a surface condition of a moving body and that is used for an image generation apparatus which forms images on a recording media includes a light-emitting device which has a plurality of light emitter systems including at least two light-emitting members and a light-emitting optical system having a plurality of light-emitting lenses corresponding to a plurality of the light emitter systems and guiding light emitted from the light emitter systems to the moving body and a light-receiving device which has a light receiver system including at least two light-receiving members and a light-receiving optical system having light-receiving lenses corresponding to the at least two light-receiving members and guiding light reflected by the moving body to the light receiver system. The image generation apparatus has further a surface condition judging device in addition to the reflection type optical sensor.




image generation

Radio tomographic image generation method and device

A radio tomographic image generation device includes a reconstruction unit for generating a plurality of reconstructed images of different iteration numbers by a successive approximation process; a region segmentation unit for obtaining information about structure based on radiographic image signals, and segmenting, based on the information about structure, a region, of which the tomographic image is generated, into a plurality of segmented regions having different information about structure; and an image combining unit for generating partial tomographic images by using the reconstructed images of different iteration numbers for the individual segmented regions based on the information about structure of the individual segmented regions, and generating a tomographic image of a subject by using the generated partial tomographic images for the individual segmented regions.