Zhu, W.; Wang, E.; Hou, Y.; Xian, L., and Ashraf, M.A., 2018. Hybrid filtering optimization method for denoising contaminated spot images at near-sea-surface intervals. In: Ashraf, M.A., and Chowdhury, A.J.K. (eds.), Coastal Ecosystem Responses to Human and Climatic Changes throughout Asia.

The presence of noise affects the visual effect of images near the sea surface and reduces the quality of the images. Thus, denoising of the contaminated spot image near the sea surface is required. The current filtering method uses a noise image as mixed model, and uses wavelet transform to denoise a spot image. However, there is a problem of missing details of images near the sea surface. Therefore, a hybrid filtering optimization method of contaminated spot image denoising is proposed. First, the feature extraction of the spot image near the sea surface is carried out, and the contaminated spot image is detected by hybrid filtering. Then the denoising of the contaminated spot image is completed according to the image detection result. Experiments show that the proposed method is practical.