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.

中文翻译：

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来自伪曝光图像融合的类似于HDR的图像：一种遗传算法

多次曝光捕获期间的图像失真是一种常见情况，并且大多数现有的旧图像内容都处于低动态范围（LDR）中。对于这两个问题，从单个图像生成伪多重曝光图像是一种可能的解决方案。因此，在本文中，我们提出了一种通过融合仅从一个图像生成的伪多重曝光图像来生成类似高动态范围（HDR）图像的新方法。拟议的伪曝光图像生成方法基于强度映射函数（IMF）。首先，我们的系统借助遗传算法学习不同曝光图像之间的关系，并生成长时和短时曝光图像。在第二步中，我们将具有不同曝光量的图像融合在一起，以生成类似HDR的图像。我们的方法优于几种基于反色调映射运算符（ITMO）的方法。所提出的方法的简单性和良好的性能使其适用于移动电话和其他消费类电子产品。我们还开发了一个演示软件来验证所提出的方法。