Modeling Image Tone Dichotomy with the Power Function

Autor:	Martinez, Axel, Olague, Gustavo, Hernandez, Emilio
Rok vydání:	2024
Předmět:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Artificial Intelligence Computer Science - Robotics
Druh dokumentu:	Working Paper
Popis:	The primary purpose of this paper is to present the concept of dichotomy in image illumination modeling based on the power function. In particular, we review several mathematical properties of the power function to identify the limitations and propose a new mathematical model capable of abstracting illumination dichotomy. The simplicity of the equation opens new avenues for classical and modern image analysis and processing. The article provides practical and illustrative image examples to explain how the new model manages dichotomy in image perception. The article shows dichotomy image space as a viable way to extract rich information from images despite poor contrast linked to tone, lightness, and color perception. Moreover, a comparison with state-of-the-art methods in image enhancement provides evidence of the method's value. Comment: 49 pages, 11 figures and 36 references
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2409.06764 Zobrazit plný text záznamu View this record from Arxiv