Local Binary Pattern–Cycle Generative Adversarial Network Transfer: Transforming Image Style from Day to Night

Transforming images from day style to night style is crucial for enhancing perception in autonomous driving and smart surveillance. However, existing CycleGAN-based approaches struggle with texture loss, structural inconsistencies, and high computational costs. In our attempt to overcome these chall...

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Bibliographic Details
Main Authors: Abeer Almohamade, Salma Kammoun, Fawaz Alsolami
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Journal of Imaging
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Online Access:https://www.mdpi.com/2313-433X/11/4/108
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