计算机图像处理技术在水下图像中的应用

目前图像自适应增强方法未曾对图像进行去雾处理,因此提出计算机图像处理技术在水下图像中的应用研究。针对水下图像雾化、模糊等问题,进行图像去雾处理,进行自适应增强,促使水下图像可以根据雾化自适应增强图像特征。实验结果表明:对比三组方法的图像增强效果、图像增强自适应度和图像增强评价指标,研究的水下图像自适应增强方法,具有较高的图像清晰度,可以降低图像中存在的噪点,增强图像色彩对比度,提高图像质量。

Research on Novel Natural Image Reconstruction and Representation Algorithm based on Clustering and Modified Neural Network

In this paper, we conduct research on the novel natural image reconstruction and representation algorithm based on clustenng and modified neural network. Image resolution enhancement is one of the earliest researches of single image interpolation. Although the traditional interpolation and method for single image amplification is effect, but did not provide more useful information. Our method combines the neural network and the clustering approach. The experiment shows that our method performs well and satisfactory.