In this work, we prove that image enhancement algorithms based on the retinex color vision model and dehazing algorithms based on Kochsmieder’s model are related at a fundamental, modelling level. Extensive experiments show how we can obtain state of the art image dehazing results using retinex implementations over images with inverted intensities, and inverting back the result.
Last Tuesday, July 19th 2022, I successfully defended my PhD dissertation at CVC (Barcelona), obtaining an Excellent Cum Laude grade. The thesis is titled “Self-supervised learning for image-to-image translation in the small data regime” and was developed at Computer Vision Center’sLearning And Machine Perception (LAMP) team and Tecnalia, under the supervision of Joost van de Weijer and Estibaliz Garrote. Many thanks to both!
Next Wednesday, October 2nd, I’ll be giving an introductory talk to Deep Learning techniques at the Faculty of Science and Technology of the University of the Basque Country (UPV/EHU).