它配备了光学完善的平板显示窗口，能产生无失真的水下图像。
It features an optically perfect, flat viewing window that produces distortion-free underwater images.
水下成像的困难和水下图像的污染严重影响了人们对海洋的探索。
The max-entropy method is widely used in the image segmentation of underwater images.
因此，水下图像的预处理与分析技术将在未来海洋工程中占有重要地位。
Hence, preprocessing and analysis technology of underwater images is seized of important status in future ocean engineering.
由于激光照射下的水下图像含有大量的散斑噪声，严重影响图像的质量。
To recognize underwater target, extraction must be performed well because there is a lot of speckle noise in underwater laser images.
本论文的主要工作就是在图像预处理的过程中充分利用水下图像的熵信息。
The main work of the thesis is that the entropy information is widely used in the pre-processing of underwater image.
由于水体环境复杂，水下图像具有其特殊性质，例如对比度低、特征模糊等。
Because of the complex underwater environment, the underwater images have their own property. For example, the low contrast, the fuzzy feature, and so on.
另外，针对水下图像衬度低、干扰因素多的特点，对系统拍摄的图像进行了处理。
Furthermore, some imaging processing techniques are proposed against underwater images which are low contrast and more noises.
该算法首先根据水下图像的特点，对图像进行小波变换预处理以去除其中的视觉冗余。
Firstly, the visual redundancy of underwater images is removed by a wavelet-based preprocessing technique according to the characteristics of underwater images.
为抵抗水声信道的传输差错，提出了一种具有较高抗误码能力的水下图像高效编码算法。
An efficient and error resilient underwater image coding algorithm is presented to resist the transmission errors of the underwater acoustic channels.
根据水下图像的特点，其底层处理过程分为：图像去噪，图像增强，边缘检测，和边缘提取。
According to the characteristics of the underwater image, the bottom layer can be divided into four steps: image denoising, image enhancement, edge detection and edge extraction.
由于水下成像环境的特殊性，水下图像成像质量较差，传统图像处理技术已无法满足应用要求。
Because of the speciality of imaging environment in the deep sea, the quality of image is poor, traditional image technique cannot meet the need of application.
根据水下图像的特点，目标识别系统包括：图像采集，图像处理，图像特征提取，根据特征进行目标识别。
Due to the characteristics of the underwater image, the ATR (automatic target recognition) included image collection, image processing, feature extraction, pattern recognition.
首先，考虑到水下图像的特点，我们采用图像的模糊增强技术，并使用统计学方法快速自适应地选取渡越点。
The author firstly uses the fuzzy enhancement. According to the characteristic of the underwater image, a statistics-based method is proposed to choose the adaptive cross point.
并指出基于小波变换的SPIHT编码算法具有对水下图像低比特率编码性能好、可以与纠错技术结合使用等特点。
Our research has showed that SPIHT performs better than JPEG while the underwater images are coded in low bit rate. SPIHT also has a good progressive transmission characteristic.
提出了基于小波多尺度边缘检测的水下图像处理算法，结合数学形态学运算和区域分割算法，把目标从背景中提取出来。
The extraction algorithm of underwater objects based on wavelet edge detection is proposed to extract objects from complicated background combined with mathematics morphologic operation.
采用传统图像检测方法存在目标区域定位不准确、目标细节信息丢失、目标形状变形等问题，本文提出一种基于离散分数布朗随机场模型的水下图像目标检测方法。
To overcome the shortcomings of traditional methods, a method of underwater image segmentation based on the discrete fractional Brownian random field was proposed to dispose underwater images.
采用传统图像检测方法存在目标区域定位不准确、目标细节信息丢失、目标形状变形等问题，本文提出一种基于离散分数布朗随机场模型的水下图像目标检测方法。
To overcome the shortcomings of traditional methods, a method of underwater image segmentation based on the discrete fractional Brownian random field was proposed to dispose underwater images.
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