[1]何 笑,吐尔洪江·阿布都克力木,贺 欢.基于小波变换的水下鱼群图像增强算法[J].计算机技术与发展,2020,30(09):77-81.[doi:10. 3969 / j. issn. 1673-629X. 2020. 09. 014]
　HE Xiao,Turgunjan ABDUKIRIM,HE Huan.Image Enhancement Algorithm for Underwater Fish Shoal Based on Wavelet Transform[J].,2020,30(09):77-81.[doi:10. 3969 / j. issn. 1673-629X. 2020. 09. 014]
点击复制

基于小波变换的水下鱼群图像增强算法()
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:
77-81
栏目:
智能、算法、系统工程
出版日期:
2020-09-10

文章信息/Info

Title:
Image Enhancement Algorithm for Underwater Fish Shoal Based on Wavelet Transform
文章编号:
1673-629X(2020)09-0077-05
作者:
何 笑; 吐尔洪江·阿布都克力木; 贺 欢
新疆师范大学 数学科学学院,新疆 乌鲁木齐 830017
Author(s):
HE Xiao; Turgunjan ABDUKIRIM; HE Huan
School of Mathematical Sciences,Xinjiang Normal University,Urumqi 830017,China
关键词:
小波变换; 双边滤波; 直方图均衡; 边缘检测; 图像融合
Keywords:
wavelet transform; bilateral filtering; histogram equalization; edge detection; image fusion
分类号:
TN957. 52
DOI:
10. 3969 / j. issn. 1673-629X. 2020. 09. 014
摘要:
针对水下获取的图像存在边缘细节模糊、噪声大、对比度低、视觉效果差的问题,提出一种基于小波变换的水下鱼群图像增强算法。 先利用自适应直方图均衡提高水下图像的整体对比度;再利用小波变换对图像进行分解,对低频部分分别使用基于改进双边滤波的单尺度 Retinex 和直方图均衡进行处理,然后将处理的二者进行线性加权融合,再进行小波逆变换重构,对重构的图像进行增益计算,得到增强图像;利用小波变换对水平方向和垂直方向的高频图像进行边缘检测再重构,得到另一个增强图像;最后对两幅增强图像进行加权融合得到最终的增强图像。 与目前已知的经典的增强方法相比,结果表明该算法的清晰度、峰值信噪比较高,能有效提升图像的对比度,丰富图像的细节信息,而且视觉效果也有明显改善。
Abstract:
Aiming at the problems of blurred edge details,high noise,low contrast and poor visual effect in underwater images,an image enhancement algorithm based on wavelet transform is proposed. Firstly,adaptive histogram equalization is used to improve the overall contrast of underwater images. The image is decomposed by wavelet transform,and the low-frequency parts are proce-ssed by singlescale Retinex and histogram equalization respectively based on improved bilateral filtering. Then the two processed parts are combined with linear weighted fusion,and the reconstructed image is reconstructed by inverse wavelet transform. The gain of the reconstructed image is calculated to obtain the enhanced image. The edge detection and reconstruction of the horizontal and vertical high frequency images are carried out by wavelet transform,and another enhanced image is obtained. Finally,the two enhanced images are weighted and fused to obtain the final enhanced image. Compared with the known classic enhancement method,the proposed algorithm has higher definition and peak signal noise ratio,which can effectively enhance image contrast,enrich the image details,and improve the visual effect significantly.

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