RICOH's AI Image Enhancementmakes your virtual tour more attractive.
AI technology allows anyone to improvethe image quality of a virtual tour just by uploading it.A realistic tour experience of properties or facilities for your customers!
What is AI Image Enhancement?
Do you have any problems with the image quality of a virtual tour?
- The image quality is dim and blurry
- The room looks dark and there are differences in brightness
- The image is affected with digital noise
RICOH's Image Enhancement technology expresses the beauty of the property or facility
Super resolution
Increase the resolution of images while preserving the details
Brightness correction
Correct the brightness of dark images while maintaining the highlight details
Noise removal
Intelligently removes image noise delivering incredible quality
RICOH's original image processing technology delivers stunning automatic enhancement
A 360 ° camera has the advantage of capturing the entire scene and allows the user to see wherever they like but when the image is enlarged its resolution decreases compared to a regular digital camera
With the advancements in image processing technologies of digital cameras that RICOH has been producing for many years and letting AI learn a dataset that pairs 360-degree images from RICOH THETA with high-quality images from RICOH GR digital camera, we have developed an intelligent image processing technology that greatly enhances the quality of an image
This technology was presented by Ricoh Group researchers at the OmniCV (* 2) workshop at CVPR2020 (* 1), a major international conference on computer vision, held on June 15, 2020. We announced the result of our activities on super-resolution technology for 360° images using AI.
* 1: The Conference on Computer Vision and Pattern Recognition. A prestigious computer vision and pattern recognition conference regarded as one of the most influential in its field convenes thousands from the Global AI, Machine Learning and Computer Vision Community.
* 2: Explanation of Omnidirectional Computer Vision in Research and Industry
