基于小波的水下图像对比度增强方法研究

因水下信道的特殊性以及成像的复杂性,使得水下图像中的不确定因素给图像处理带来严重的影响。主要介绍了一种利用小波变换进行水下图像增强的方法,以克服水下不确定因素给图像处理带来的困难,并对其进行了仿真试验。为降低对水下图像噪声增强程度,该方法对不同尺度上的系数进行不同尺度的对比度增强。试验结果表明,此方法在对深海图像的处理能够取得好的效果,可有效地克服水下图像灰度分布不均匀和环境不确定因素的干扰。

Research of Underwater Image Processing Based on WaVeIet TraIlsform

Because of the speciality of the underwater channel and the complexity of imaging environment,the uncertain factors in underwater image produce serious impact on image processing.Princically proposed an underwater images contrast enhancement method of wavelet transform,the method is emulated in the experiment to get over with the trouble brought by uncertain factors in the undersea environment during the process of target identification.The decomposed coefficients at different scales are enhanced in different degrees so as to decrease the degree of enhancement of noise in underwater images.The experimental results have demonstrated that,the approach is valid for underwater image processing of undersea hydrothermal vent image,and can be effectively protected from gray level asymmetric distributing and uncertain environmental interference.