

Hence, we have two options : either use YCbCr color space or LAB color space as both Y and L channel encodes the information regarding illumination. Now as we are getting intensity as input and we have to guess colors, we can’t use RGB color space as it doesn’t have information regarding illumination. decided to attack the problem of image colorization by using Convolutional Neural Networks to “hallucinate” what an input grayscale image would look like when colorized.
COLORIZE BLACK AND WHITE PHOTO MANUAL
Previous approaches to black and white image colorization relied on manual human annotation and often produced desaturated results that were not “believable” as true colorizations. The technique we’ll be covering here today is from Zhang et al.’s 2016 ECCV paper, Colorful Image Colorization. We will utilize a Convolutional Neural Network capable of colorizing black and white images with results that can even “fool” humans! Lets’ Get Started

The novel approach we are going to use here today instead relies on deep learning.
COLORIZE BLACK AND WHITE PHOTO HOW TO
So lets see how to colorize black and white images : Overview But nonetheless, I thought of writing this blog about my project.

After few hours of searching, I finally found a method to colorize these images, and I immediately started working on this project and after an exhausting 6 hours, I finally got a working model, albeit the results are not as perfect as I had imagined.
