Our project
Project ‘COUPE’ aims to develop a SW that evaluates and improves the quality of images and videos based on big visual data. To achieve the goal, we extract sharpness, color, composition features from images and develop technologies for restoring and improving by using it.
In addition, personalization technology through user preference analysis is under study.
Descriptions of the projects are given in the SERVICES menu. You can also download our source code for free.
Our Services
Download our source code and visit our Wiki !
Photo Horizon Correction
By training a deep convolutional neural network with a self-supervised data augmentation on the 360 spherical panorama images, we can precisely estimate and correct the horizontal and vertical alignment of …
Image Super Resolution
We propose a novel GAN-based SISR method produces more realistic results by attaching an additional discriminator that works in the feature domain. The discriminator encourages the generator to produce structural …
Defocus Map Estimation
Shallow focus can emphasize one part of the image over another. Our trained convolutional neural network estimates dense defocus map that represents the size of circle of confusion (CoC). By …
Photo Color Enhancement
The quality of photographs depend on numerous attributes, such as sharpness, colorfulness, composition. Colorfulness is highly subjective attributes that cannot be described in a few words. Our framework automatically learns …