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HDR-Like Image from Pseudo-Exposure Image Fusion: A Genetic Algorithm Approach

机译:来自伪曝光图像融合的HDR样图像:一种遗传算法方法

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摘要

Image distortion during multiple-exposure capture is a common scenario, and most of the existing legacy image content is in the low dynamic range (LDR). For both of these problems, pseudo multiple exposure image generation from a single image is a possible solution. Hence, in this article, we propose a novel method for high dynamic range (HDR)-like image generation by fusing pseudo-multi-exposure images that are produced from only one single image. The proposed pseudo-exposure image generation method is based on intensity mapping function (IMF). First, our system learns the relation between different exposure images with the help of genetic algorithm and generates long and short exposure images. In the second step, we fuse images with different exposures to generate the HDR-like image. Our method outperforms several inverse tone mapping operator (ITMO)-based methods. The simplicity and good performance of the proposed method makes it suitable for mobile phones and other consumer electronics. We also develop a demo software to validate the proposed method.
机译:多曝光捕获期间的图像失真是一个常见的场景,大多数现有的传统图像内容都处于低动态范围(LDR)。对于这两个问题,从单个图像产生的伪多曝光图像是可能的解决方案。因此,在本文中,我们通过熔化由一个单个图像产生的伪多曝光图像提出了一种用于高动态范围(HDR)的图像生成的新方法。所提出的伪曝光图像生成方法基于强度映射函数(IMF)。首先,我们的系统在遗传算法的帮助下学习不同曝光图像之间的关系,并产生长短曝光图像。在第二步中,我们用不同的曝光熔断图像以产生类似HDR的图像。我们的方法优于几种反向音映射运算符(ITMO)的方法。所提出的方法的简单性和良好性能使其适用于移动电话和其他消费电子产品。我们还开发了一个演示软件以验证提出的方法。

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