Reverse Imaging Pipeline for Raw RGB Image Augmentation
Samu Koskinen, Dan Yang, Joni‐Kristian Kämäräinen · 2019
We propose a reverse camera imaging pipeline to convert arbitrary images to raw RGB responses of a specific camera. The pipeline requires only that the camera's RGB responses are characterized. The reversed pipeline helps camera developers to generate camera specific raw images and use them to train learning-based imaging pipeline algorithms. In our experiments, three recent deep color constancy architectures achieve superior results in the cross-dataset setting using generated images.