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Denoising Research of Underwater Images Backscatter Based on the Theory of Wavelet

Author: ZhangXueMeng
Tutor: WangGuoYu
School: Ocean University of China
Course: Communication and Information System
Keywords: Underwater image Backscatter Wavelet Transform High-pass filter Thresholding
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 83
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Abstract


In the rapid economic development in the 21st century, the problem of resources to become a major issue facing the world . As science and technology advances , the ocean has become mankind's survival and development of new space. Rich marine resources to a certain extent, can greatly alleviate the world is currently facing many difficulties , so become a national marine development of new economic development point . But the human understanding of the oceans is very limited, so how rational and effective use of marine resources is placed in front of scientific workers is a major issue . Shooting underwater image of human knowledge , mainly through the ocean, but the underwater environment is complex, imaging conditions, from underwater captured images are often submerged in a variety of noise . The difficulties of underwater imaging and underwater images of people severely affected by pollution of the marine exploration. Therefore effectively underwater image denoising , reflecting the information is clear and true underwater deep-sea research in the key topics. Underwater image contamination process and mechanism is very complex, different underwater ambient noise are not the same . The purpose of this paper is to try using wavelet combined with the high-pass filtering method of underwater image denoising , and strive to improve image quality. Firstly, the theoretical study of wavelet denoising overview of wavelet analysis and application prospects and briefly introduced the basic theory of wavelet denoising three main methods are analyzed , focusing on analysis of wavelet thresholding denoising methods, one of several classical threshold estimation method gives a detailed description . Secondly, the introduction of underwater imaging environments and underwater image characteristics. Backscatter by establishing the mathematical model obtained backscattering noise frequency range to arrive at the high- pass filter filter underwater image backscatter noise possibilities. Again, on the basis of the theoretical analysis , based on wavelet and the high-pass filtering backscatter underwater image noise reduction algorithm to overcome the only underwater image wavelet processing backscatter deficiencies. Experiments show that high-pass filter to a certain extent, improve the denoising results. Finally, the analysis of the study of the problems and issues need to be addressed in the future .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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