An approach for underwater image denoising via wavelet decomposition and high-pass filter
Wavelet-based denoising has comprehensive functionalities including feature extraction and lowpass filtering, while keeping characteristics such as low entropy, multi-resolution, irrelevance, etc. Wavelet-based denoising methods have been successfully applied for image processing in varieties. However, one of the main factors degrading underwater imaging is the backward scattered light, which performs as the color noise with significant low-frequency components. The current wavelet denoising methods are not optimal to depress such kind of strong co-related noise. Investigations have shown that the back-scattering noise is sensitive to high-pass filter. In this paper, we proposed a new approach for underwater image denoising by combining wavelet decomposition with high-pass filter. Thereby both the low-frequency components of the backscattering noise and the uncorrelated high-frequency noise can be effectively depressed simultaneously. Experimental results were given.
Sun Feifei Zhang Xuemeng Wang Guoyu
College of Information Science and Engineering, Ocean University of China, 266000
国际会议
深圳
英文
417-420
2011-03-28（万方平台首次上网日期，不代表论文的发表时间）