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.

翻译：本文提出了一种提升图像对比度的方法。我们的目标是找到一种针对特定图像的变换函数。我们采用模糊系统作为变换函数。为了根据图像调整系统，我们分别运用遗传算法和爬山法以多种方式对模糊系统进行优化，并开展了多组实验。我们在多幅图像上测试了该方法的不同变体，并筛选出适应度较高的两种变体。通过问卷调查评估了这两种变体增强效果的视觉改善程度。结果表明，其中一种方法能有效提升图像对比度的视觉效果。