Image recoloring using generative adversarial neural networks

Hector Osuna; Marcos Moroyoqui; David Espina; Ulises Orozco-Rosas; Kenia Picos

doi:10.1117/12.2677784

4 October 2023 Image recoloring using generative adversarial neural networks

Hector Osuna, Marcos Moroyoqui, David Espina, Ulises Orozco-Rosas, Kenia Picos

Proceedings Volume 12673, Optics and Photonics for Information Processing XVII; 1267302 (2023) https://doi.org/10.1117/12.2677784
Event: SPIE Optical Engineering + Applications, 2023, San Diego, California, United States

Abstract

This paper presents an in-depth exploration of a Neural Network designed to recolor grayscale images with minimal input requirements. The paper delves into the intricate process of training the network, which involves carefully selecting a fitness function and creating an effective adversarial network. Throughout the paper, various alternatives are considered and evaluated until a suitable approach is identified for further training. Notably, the implementation adopts a random batch sampling approach to gather images in each batch selection, allowing for diverse and comprehensive training. Moreover, several techniques, including Batch Normalization, Leaky ReLU, and Label Smoothing, are strategically employed to tackle challenges related to generalization and achieve a balanced interplay between the generator and discriminator. The experimental results are thoroughly discussed, showcasing the substantial progress achieved in addressing the problem at hand. Remarkably, the Neural Network attains a Structural Similarity Index (SSIM) of -0.5944 on the test set and -0.5922 on the training set, signifying its proficiency in accurately recoloring grayscale images. This paper contributes valuable insights into the realm of image recoloring using neural networks and demonstrates the effectiveness of the proposed methodology in achieving good results.

Conference Presentation

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hector Osuna, Marcos Moroyoqui, David Espina, Ulises Orozco-Rosas, and Kenia Picos "Image recoloring using generative adversarial neural networks", Proc. SPIE 12673, Optics and Photonics for Information Processing XVII, 1267302 (4 October 2023); https://doi.org/10.1117/12.2677784

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available