2017 International Conference on Control Engineering and Artificial Intelligence | |
Study on Underwater Image Denoising Algorithm Based on Wavelet Transform | |
计算机科学 | |
Jian, Sun^1 ; Wen, Wang^1 | |
Harbin Engineering University, Harbin, Heilongjiang | |
150001, China^1 | |
关键词: Application of matlabs; Color image de-noising; Edge protection; Hybrid filters; Image sharpness; Transmission characteristics; Underwater noise; WIENER filters; | |
Others : https://iopscience.iop.org/article/10.1088/1742-6596/806/1/012006/pdf DOI : 10.1088/1742-6596/806/1/012006 |
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学科分类:计算机科学(综合) | |
来源: IOP | |
【 摘 要 】
This paper analyzes the application of MATLAB in underwater image processing, the transmission characteristics of the underwater laser light signal and the kinds of underwater noise has been described, the common noise suppression algorithm: Wiener filter, median filter, average filter algorithm is brought out. Then the advantages and disadvantages of each algorithm in image sharpness and edge protection areas have been compared. A hybrid filter algorithm based on wavelet transform has been proposed which can be used for Color Image Denoising. At last the PSNR and NMSE of each algorithm has been given out, which compares the ability to de-noising.
【 预 览 】
Files | Size | Format | View |
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Study on Underwater Image Denoising Algorithm Based on Wavelet Transform | 1147KB | download |