Influence of Color Spaces for Deep Learning Image Colorization. (arXiv:2204.02850v1 [cs.CV])

Colorization is a process that converts a grayscale image into a color one
that looks as natural as possible. Over the years this task has received a lot
of attention. Existing colorization methods rely on different color spaces:
RGB, YUV, Lab, etc. In this chapter, we aim to study their influence on the
results obtained by training a deep neural network, to answer the question: "Is
it crucial to correctly choose the right color space in deep-learning based
colorization?". First, …

arxiv color cv deep learning image influence learning