基于父系数及邻域系数的双树复数小波变换算法在单幅彩色图像去雾中的应用  

Image Defogging Algorithm of Single Color Image Based on PNDTCWT Wavelet Transform

作　　者：李晓飞[1] 朱荣[2] 

机构地区：[1]曲阜师范大学信息技术与传播学院 [2]曲阜师范大学计算机科学学院

出　　处：《电子技术（上海）》2013年第4期4-5,共2页Electronic Technology

摘　　要：雾天获取的彩色图像具有对比度低、纹理弱、噪声严重等问题,针对此问题提出了基于父系数及邻域系数的双树复数小波变换算法来对单幅彩色图像进行去雾处理。大量的Matlab实验结果证明,该算法不仅改善了雾天图像对比度底的问题,还可以有效的提高图像的视觉效果。Because of the light scattering ettect by me suspenaea paructes an me mmubpll~, iJ^xuLu~;~alOU~ taken in the foggy day look gray and lack of visibility. In order to unveil clear image＇s structures and colors, an image defogging algorithm of single color image based on PNDTCWT Wavelet Transform is proposed in this paper. A large number of experimental results show that the algorithm can not only enhance the image contrast and get high definition images, but also can improve the visual quality of the images effectively.

关 键 词：图像去雾 父系数 邻域系数 双树复数 小波变换 

分 类 号：TN219[电子电信—物理电子学]