基于模糊技术的图像对比度增强及参数确定
Image Contrast Enhancement using Fuzzy Technique with Parameter Determination using Metaheuristics
摘要：
在这项工作中，我们提出了一种方法来增加图像的对比度。我们的目标是找到一个特定于图像的转换。我们使用了一个模糊系统作为我们的转换函数。为了根据图像调整系统，我们使用了遗传算法和爬山法在多种方式来进化模糊系统，并进行了几个实验。该方法的不同变体在几个图像上进行测试，并选择在适应度方面优于其他的两个变体。我们亦进行了一项调查，以评估这两个变体所带来的视觉改善。调查表明，其中一种方法可以在视觉上增强图像的对比度。
英文摘要：
In this work, we have presented a way to increase the contrast of an image. Our target is to find a transformation that will be image specific. We have used a fuzzy system as our transformation function. To tune the system according to an image, we have used Genetic Algorithm and Hill Climbing in multiple ways to evolve the fuzzy system and conducted several experiments. Different variants of the method are tested on several images and two variants that are superior to others in terms of fitness are selected. We have also conducted a survey to assess the visual improvement of the enhancements made by the two variants. The survey indicates that one of the methods can enhance the contrast of the images visually.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
