融合引导滤波和小波变换的水下图像增强算法
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引用本文:何 笑,王 刚,贺 欢.融合引导滤波和小波变换的水下图像增强算法[J].计算技术与自动化,2021,(1):114-118
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作者单位
何 笑,王 刚,贺 欢 (新疆师范大学 数学科学学院 新疆 乌鲁木齐 830017) 
中文摘要:针对水下环境对比度低和极其模糊的视觉效果问题,提出了一种融合引导滤波和小波变换的水下图像增强算法。利用引导滤波将图像分为基础部分和细节部分,将小波变换应用于基础部分,对产生的低频图像进行限制对比度直方图均衡,高频部分分别使用改进的对数函数增强,然后将处理后的高低频部分进行小波逆变换。细节部分进行增益计算;最后将处理后的基础部分和细节部分进行加权融合,再对融合图像进行限制对比度直方图均衡,得到目标图像。仿真实验表明,该方法在保留图像细节的同时很好地克服了光照不均匀对图像的影响.
中文关键词:小波变换  à trous算法  引导滤波  直方图均衡  图像融合
 
Underwater Image Enhancement Algorithm Combining Guided Filtering and Wavelet Transform
Abstract:An underwater image enhancement algorithm based on guided filtering and wavelet transform is proposed to solve the problem of low contrast and extremely fuzzy visual effect in underwater environment.Wavelet transform is applied to the basic part to equalize the generated low-frequency image with limited contrast histogram. The high-frequency part is enhanced with improved logarithmic function, and then the processed high-frequency part is transformed with inverse wavelet transform.The gain calculation is carried out in detail.Finally, the processed basic part and the detail part are weighted and fused, and then the fused image is balanced with limited contrast histogram to obtain the target image.
keywords:wavelet transform  à trous algorithm  guided filtering  histogram equalization  image fusion
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