节点文献
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
【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。
【Abstract】 Because of the light scattering effect by the suspended particles in the atmosphere,photographs 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;
【Key words】 image defogging; father coefficient; neighborhood coefficient; tree complex; wavelet transform;
【Key words】 image defogging; father coefficient; neighborhood coefficient; tree complex; wavelet transform;
- 【文献出处】 电子技术 ,Electronic Technology , 编辑部邮箱 ,2013年04期
- 【分类号】TP391.41
- 【被引频次】4
- 【下载频次】149