Sonar image obtained from
such sonar instruments are used in different fields to realize
seafloor task, such as navigation, seabed mapping, fishing,
ocean drilling barrier, oil exploration, mines’ detection, and
so on
Because of the particular optical properties of light in water and the presence of suspended particles, sonar images are very noisy, the lighting is not uniform, the colors are muted and the contrast is low. Most methods dedicated to reduce the noise apply different filtering and are often classified in two categories: the methods acting in the spatial domain and those acting in the transformed domain. Stéphane Bazeille and Isabelle Quidu [6] proposed an algorithm for image preprocessing sonar which allows correction of lighting, noise and color and requires no user intervention or a priori information on the acquisition conditions. This algorithm is a combination of four different filters each of which aims to revise a special defect. To eliminate the defects of non-uniformity of illumination, the Homomorphic filtering is used.
Because of the particular optical properties of light in water and the presence of suspended particles, sonar images are very noisy, the lighting is not uniform, the colors are muted and the contrast is low. Most methods dedicated to reduce the noise apply different filtering and are often classified in two categories: the methods acting in the spatial domain and those acting in the transformed domain. Stéphane Bazeille and Isabelle Quidu [6] proposed an algorithm for image preprocessing sonar which allows correction of lighting, noise and color and requires no user intervention or a priori information on the acquisition conditions. This algorithm is a combination of four different filters each of which aims to revise a special defect. To eliminate the defects of non-uniformity of illumination, the Homomorphic filtering is used.
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