The Research of Underwater Image De-noising Method Based on Adaptive Wavelet Transform
For the problem of underwater image de-noising,a new method based on adaptive wavelet combining adaptive threshold selection with adaptive output of the threshold function is proposed.Considering the underwater image with low SNR,contrast imbalance,and poor image quality,first some pre-processing should be done before wavelet threshold de-nosing.Then,we adopt adaptive wavelet combining adaptive threshold selection with adaptive output of the threshold function for the image de-noising.Finally the simulation results show that the proposed method not only removes noise effectively,improves image output peak signal-to-noise ratio(PSNR),but also yields superior vision quality and embodies the superiority of wavelet de-noising.
Image De-noising Threshold Underwater Image Adaptive Wavelet Peak Signal to Noise Ratio (PSNR)
Lei Fei Wang Yingying
Academy of Electronic Information and Control Engineering,Beijing University of Technology,Beijing 100022
国际会议
长沙
英文
2521-2525
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）