[1]贺 欢,吐尔洪江·阿布都克力木,何 笑.基于小波变换的彩色图像去雾方法[J].计算机技术与发展,2020,30(09):60-64.[doi:10. 3969 / j. issn. 1673-629X. 2020. 09. 011]
　HE Huan,Turghunjian·ABDUKIRIM,HE Xiao.A Method of Color Image Defogging Based on Wavelet Transform[J].,2020,30(09):60-64.[doi:10. 3969 / j. issn. 1673-629X. 2020. 09. 011]
点击复制

基于小波变换的彩色图像去雾方法()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
30
期数:
2020年09期
页码:
60-64
栏目:
智能、算法、系统工程
出版日期:
2020-09-10

文章信息/Info

Title:
A Method of Color Image Defogging Based on Wavelet Transform
文章编号:
1673-629X(2020)09-0060-05
作者:
贺 欢; 吐尔洪江·阿布都克力木; 何 笑
新疆师范大学 数学科学学院,新疆 乌鲁木齐 830017
Author(s):
HE Huan; Turghunjian·ABDUKIRIM; HE Xiao
School of Mathematical Sciences,Xinjiang Normal University,Urumqi 830017,China
关键词:
小波变换; 同态滤波; MALLAT 算法; YCbCr 彩色空间; RGB 颜色空间
Keywords:
wavelet transform; homomorphic filtering; MALLAT algorithm; YCbCr color space; RGB color space
分类号:
TP391. 41
DOI:
10. 3969 / j. issn. 1673-629X. 2020. 09. 011
摘要:
针对雾天拍摄的图像模糊、对比度低、图像失真严重、获取重要信息困难等一系列问题,提出了一种基于小波变换的彩色图像去雾方法。 首先在 RGB 颜色空间对图像的 RGB 三个颜色通道进行直方图均衡处理;同时在 YCbCr 彩色空间提取 Y 分量,并对其进行二维离散小波变换,得到一个低频分量和三个高频分量,对低频分量进行同态滤波处理,而对三个高频分量进行限制对比度直方图均衡处理,然后进行二维离散小波逆变换重构高低频部分,最后转换回 RGB 颜色空间,并将两幅图像进行线性组合,得到最终的去雾图像。 仿真实验表明,通过结合主观分析和客观评价标准,该方法与其他去雾方法相比,对比度较高,视觉感较好,亮度较高,颜色恢复较逼真,去雾效果较好。
Abstract:
Aiming at a series of problems such as blurred image,low contrast,serious image distortion and difficulty in obtaining important information, we propose a color image defogging method based on wavelet transform. Firstly,histogram equalization is performed for the three color channels of the image in RGB color space. Meanwhile, Y component is extracted from YCbCr color space, and two-dimensional discrete wavelet transform is carried out to obtain one low-frequency component and three high-frequency components. Homomorphic filtering is carried out for the low-frequency components,and restricted contrast histogram equalization is carried out for the three high-frequency components. Then,the high and low frequency parts are reconstructed by two-dimensional discrete wavelet inverse transform,and finally converted back to RGB color space,and the two images are combined linearly to obtain the final defogging image. Simulation results show that combined with the subjective analysis and objective evaluation standard, compared with other defogging methods,the proposed method has higher contrast,better visual perception, higher brightness, more realistic color recovery and better defogging effect.

相似文献/References:

[1]杨亚 王铮 张素兰 郭飞飞.基于小波变换的多聚焦图像融合[J].计算机技术与发展,2010,(03):56.
　YANG Ya,WANG Zheng,ZHANG Su-lan,et al.Multi - focus Image Fusion Scheme Based on Wavelet Transform[J].,2010,(09):56.
[2]刘会英 张政保 文家福 李占德.一种带纠错编码的小波域自适应盲水印算法[J].计算机技术与发展,2010,(03):140.
　LIU Hui-ying,ZHANG Zheng-bao,WEN Jia-fu,et al.A Wavelet Domain Adaptive Blind Watermarking Algorithm with Error Correcting Encoding[J].,2010,(09):140.
[3]郭航宇 景晓军 尚勇.基于小波变换和数学形态法的车牌定位方法研究[J].计算机技术与发展,2010,(05):13.
　GUO Hang-yu,JING Xiao-jun,SHANG Yong.License Plate Location Method Based on Wavelet Transform and Mathematical Morphology[J].,2010,(09):13.
[4]钱颖雪 左洪福 李耀华.小波与傅里叶变换耦合的静电监测信号去噪法[J].计算机技术与发展,2009,(07):1.
　QIAN Ying-xue,ZUO Hong-fu,LI Yao-hua.Static Monitoring Signal De- noising by Wavelet and FFT[J].,2009,(09):1.
[5]赵兵.小波变换阈值降噪在电力负荷管理终端中的应用[J].计算机技术与发展,2009,(07):206.
　ZHAO Bing.Application of Wavelet Transform Threshold Noise Reduction in Load Management Terminal[J].,2009,(09):206.
[6]张登银 薄顺荣 许扬扬.边缘检测算法改进及其在QoE测定中的应用[J].计算机技术与发展,2009,(08):49.
　ZHANG Deng-yin,BO Shun-rong,XU Yang-yang.Improved Image Edge Detection Algorithm and Its Application in QoE Measurement[J].,2009,(09):49.
[7]朱良燕 毛军军 苗强 吴涛[].合肥市降水变化趋势分形特征分析与预测[J].计算机技术与发展,2009,(09):17.
　ZHU Liang-yan,MAO Jun-jun,MIAO Qiang,et al.Analysis of Precipitation Changes Trend Fractal Features and Forecasts in Hefei[J].,2009,(09):17.
[8]王树梅 王志成 蔡健.一种基于灰度形态学的小波域边缘检测算法[J].计算机技术与发展,2009,(01):32.
　WANG Shu-mei,WANG Zhi-cheng,CAI Jian.A Novel Edge- Detection Algorithm in Wavelet Gray - Scale Morphology[J].,2009,(09):32.
[9]单立场 蔡坤宝 王永东.多分辨率分析在HRV信号分析中的应用[J].计算机技术与发展,2008,(01):250.
　SHAN Li-chang,CAI Kun-bao,WANG Yong-dong.Application of Multi Resolution Analysis to HRV Signal Analysis[J].,2008,(09):250.
[10]邢丹俊 王继成.基于提升小波的自适应阈值图像去噪[J].计算机技术与发展,2008,(02):42.
　XING Dan-jun,WPNG Ji-cheng.Adaptive Threshold Based on Lifting Wavelet Transform for Image Denoising[J].,2008,(09):42.

更新日期/Last Update: 2020-09-10