基于遗传优化的分段线性影像增强

Remote Sensing Image Enhancement Based on Genetic Optimization

影像增强对于弥补影像对比度和清晰度的退化是非常有效的。本文在分析几种典型影像增强技术优缺点的基础上提出了一种新的影像增强技术。该技术首先将传统的分段线性增强算子修改为带参数的算子,然后用遗传算法对这些参数进行自适应动态调节以获得满足问题需要的增强结果。试验验证了该思想的合理性和有效性。与传统的影像增强技术相比,该技术明显具有较高的自动化与智能化水平。

Image enhancement is a very effective image processing techniques, whose purpose is to retrieve the contrast and the definition of some degradation of images. A new image enhancement technique is presented in the basis of analyzing the qualities of several typical image enhancement techniques, whose basic principle is to adjust the parameters of segmented linear enhancement operator with genetic algorithm automatically. The experiments show that it is a reasonable and effective technique. As compared with classical image enhancement methods, the presented one is provided with very higher automatic and intelligent capability distinctly, while the traditional ones can be adjusted manually and the satisfying enhancement result cannot always be attained.