基于复—方向小波变换和视觉表示的图像增强

Image Enhancement Based on a New Complex-directional Wavelet Transform and the Visual Representation

针对复—方向小波变换具有好的平移不变性、方向选择性、对图像边缘特征的表示比传统实小波要好等优势,提出了一种基于视觉表示统计特性和复—方向小波变换的图像增强新方法。该算法在图像的多尺度复—方向小波变换域内进行动态范围(亮度)修正和局部对比度调整以增强图像。实验结果表明,与目前经典的多尺度增强算法相比,运用本文的算法增强的图像视觉效果好,在边缘和细节处失真小,而且对图像源的变化具有很好的鲁棒性。

A novel method for image enhancement,which exploits the properties of the double-density dual-tree DWT and the statistical characters of visual representation,is proposed.The double-density dual-tree DWT combines the characteristics and advantages of the double-density DWT and the complex dual-tree DWT.This allows the transform to provide approximate shift invariance and directional selectivity and is well suited for image enhancement.The algorithm corrects the global dynamic range(brightness) and adjusts l...