Wavelet Analysis of Seawater Seismic Reflection Image

Using seawater seismic reflection images has certain advantages for studying small and mesoscale physical ocean features. In addition to various physical phenomena such as internal waves and vortices, there may also be various interference factors in seawater seismic reflection images, which have different characteristics in seismic reflection images. Analyzing and extracting these different features is of great significance for image-denoising interpretation, analysis, and recognition. The wavelet analysis method is widely used in image processing, which can effectively separate different frequency/wavenumber components in the image to achieve image-denoising and specific frequency/wavenumber feature extraction. The effect of wavelet processing is greatly affected by the wavelet base function. Only selecting the appropriate wavelet base can have ideal results for different types of images. Here, three bases, Haar, db4, and bior4.4 are selected to process the seawater seismic wave images. Comparing the decomposition results of three different wavelet bases, the decomposition results of the Haar wavelet can clearly show the horizontal characteristics of the water layer in the image. In contrast, the decomposition results of DB4 and bior4.4 are relatively weak. The specific final decomposition order should be determined according to the purpose and demand of actual image interpretation.