Color Correction of Mars Images: A Study of Illumination Discrimination Along Solight Locus

IF 0.6 4区计算机科学 Q4 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Journal of Imaging Science and Technology Pub Date : 2023-09-01 DOI:10.2352/j.imagingsci.technol.2023.67.5.050410

Emilie Robert, Che Shen, Magali Estribeau, Edoardo Cucchetti, Mark Fairchild

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Abstract

Geologists consider it crucial to work on faithful images of Mars. However, no color correction is yet done systematically on those images, especially due to the poor knowledge of the local martian weather. The weather is highly fluctuating and with the low gravity of the planet, it tends to set the conditions for varying amounts of dust in the atmosphere and ground illumination variations as well. Low discrimination of light variations by the Human Visual System is explained by Chromatic Adaptation (CA). Color images processing therefore often accounts for a step related to CA. This study investigates whether this step has to be applied to Mars images as well and is done through an illumination discrimination task performed on 15 observers for stimuli along daylight locus and solight locus (lights of Mars planet) generated through a 7-LEDs lighting system. This study gives outputs in agreement with other on daylight locus while showing low differences between results under daylight and solight.

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火星图像的色彩校正:沿光照轨迹的光照分辨研究

地质学家认为，绘制真实的火星图像至关重要。然而，还没有对这些图像进行系统的色彩校正，特别是由于对火星当地天气的了解不足。天气是高度波动的，加上地球的低重力，它往往会为大气中不同数量的灰尘和地面照明变化设定条件。色度适应(Chromatic Adaptation, CA)解释了人类视觉系统对光线变化的低分辨。因此，彩色图像处理通常是与CA相关的一个步骤。本研究调查了这一步骤是否也必须应用于火星图像，并通过对15名观测者进行照明辨别任务，以通过7个led照明系统产生的日光轨迹和日光轨迹(火星行星的灯光)的刺激来完成。本研究给出的结果与其他关于日光轨迹的结果一致，而在日光和日光下的结果差异很小。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Imaging Science and Technology 工程技术-成像科学与照相技术

CiteScore

2.00

自引率

10.00%

发文量

审稿时长

>12 weeks

期刊介绍： Typical issues include research papers and/or comprehensive reviews from a variety of topical areas. In the spirit of fostering constructive scientific dialog, the Journal accepts Letters to the Editor commenting on previously published articles. Periodically the Journal features a Special Section containing a group of related— usually invited—papers introduced by a Guest Editor. Imaging research topics that have coverage in JIST include: Digital fabrication and biofabrication; Digital printing technologies; 3D imaging: capture, display, and print; Augmented and virtual reality systems; Mobile imaging; Computational and digital photography; Machine vision and learning; Data visualization and analysis; Image and video quality evaluation; Color image science; Image archiving, permanence, and security; Imaging applications including astronomy, medicine, sports, and autonomous vehicles.