Abstract
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.
Abstract (translated)
在本作品中,我们介绍了一种方法,以增加图像对比度。我们的的目标是找到一种特定的变换,以适应图像。我们使用了模糊系统作为变换函数。为了调整系统,我们使用遗传算法和 Hill 攀登多次进化模糊系统,并进行了多项实验。不同版本的方法和实验在多个图像上进行测试,并选择两个在 fitness 方面胜过其他版本的选项。我们还进行了调查,以评估两个版本的增强视觉改善的效果。调查表明,一种方法可以增强图像的对比度。
URL
https://arxiv.org/abs/2301.12682