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Experiments in evolutionary image enhancement with ELAINE
Genetic Programming and Evolvable Machines ( IF 2.6 ) Pub Date : 2022-11-01 , DOI: 10.1007/s10710-022-09445-9
João Correia , Daniel Lopes , Leonardo Vieira , Nereida Rodriguez-Fernandez , Adrian Carballal , Juan Romero , Penousal Machado

Image enhancement is an image processing procedure in which the image’s original information is refined, for example by highlighting specific features to ease post-processing analyses by a human or machine. This procedure remains challenging since each set of images is often taken under diverse conditions which makes it hard to find an image enhancement solution that fits all conditions. State-of-the-art image enhancement pipelines apply filters that solve specific issues; therefore, it is still hard to generalise these pipelines to all types of problems encountered. We have recently introduced a Genetic Programming approach named ELAINE (EvoLutionAry Image eNhancEment) for evolving image enhancement pipelines based on pre-defined image filters. In this paper, we showcase its potential to create solutions under a real-estate marketing scenario by comparing it with a manual approach and an existing tool for automatic image enhancement. The ELAINE obtained results far exceed those obtained by manual combinations of filters and by the one-click method, in all the metrics explored. We further explore the potential of creating non-photorealistic effects by applying the evolved pipelines to different types of images. The results highlight ELAINE’s potential to transform input images into either suitable real-estate images or non-photorealistic renderings, thus transforming contents and possibly enhancing its aesthetic appeal.



中文翻译:

使用 ELAINE 进行进化图像增强实验

图像增强是一种图像处理过程,其中图像的原始信息被提炼,例如通过突出特定特征以简化人或机器的后处理分析。这个过程仍然具有挑战性,因为每组图像通常是在不同的条件下拍摄的,这使得很难找到适合所有条件的图像增强解决方案。最先进的图像增强管道应用过滤器来解决特定问题;因此,仍然很难将这些管道推广到遇到的所有类型的问题。我们最近引入了一种名为 ELAINE (EvoLutionAry Image eNhancEment) 的遗传编程方法,用于基于预定义的图像过滤器发展图像增强管道。在本文中,我们通过将其与手动方法和现有的自动图像增强工具进行比较,展示了它在房地产营销场景下创建解决方案的潜力。在探索的所有指标中,ELAINE 获得的结果远远超过了手动组合过滤器和一键式方法获得的结果。我们通过将进化的管道应用于不同类型的图像,进一步探索了创建非真实感效果的潜力。结果突出了 ELAINE 将输入图像转换为合适的房地产图像或非真实感渲染的潜力,从而转换内容并可能增强其美学吸引力。在探索的所有指标中,ELAINE 获得的结果远远超过了手动组合过滤器和一键式方法获得的结果。我们通过将进化的管道应用于不同类型的图像,进一步探索了创建非真实感效果的潜力。结果突出了 ELAINE 将输入图像转换为合适的房地产图像或非真实感渲染的潜力,从而转换内容并可能增强其美学吸引力。在探索的所有指标中,ELAINE 获得的结果远远超过了手动组合过滤器和一键式方法获得的结果。我们通过将进化的管道应用于不同类型的图像,进一步探索了创建非真实感效果的潜力。结果突出了 ELAINE 将输入图像转换为合适的房地产图像或非真实感渲染的潜力,从而转换内容并可能增强其美学吸引力。

更新日期:2022-11-01
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