Abstract

When side-scan sonars collect data, sonar energy attenuation, the residual of time varying gain, beam patterns, angular responses, and sonar altitude variations occur, which lead to an uneven gray level in side-scan sonar images. Therefore, gray scale correction is needed before further processing of side-scan sonar images. In this paper, we introduce the causes of gray distortion in side-scan sonar images and the commonly used optical and side-scan sonar gray scale correction methods. As existing methods cannot effectively correct distortion, we propose a simple, yet effective gray scale correction method for side-scan sonar images based on Retinex given the characteristics of side-scan sonar images. Firstly, we smooth the original image and add a constant as an illumination map. Then, we divide the original image by the illumination map to produce the reflection map. Finally, we perform element-wise multiplication between the reflection map and a constant coefficient to produce the final enhanced image. Two different schemes are used to implement our algorithm. For gray scale correction of side-scan sonar images, the proposed method is more effective than the latest similar methods based on the Retinex theory, and the proposed method is faster. Experiments prove the validity of the proposed method.

Highlights

  • With the continuous development of side-scan sonar technology, aspects of side-scan sonars, such as data acquisition stability, sonar image resolution, and image clarity have been improved, providing better technical support for hydrographic surveying and charting

  • Many kinds of gray scale correction methods are available for side-scan sonar images, Atpresent, present, many many kinds kinds of of gray gray scale scale correction methods are available for side-scan sonar images, At which can be categorized into six kinds of methods

  • Side-scan sonar images are different from natural images, so we considered the following when designing the image enhancement algorithm for side-scan sonar images: (1) Since the side-scan sonar image is originally a gray-scale image and the color side-scan sonar image is the result of pseudo-color processing, we did not use max-RGB technology to obtain illumination map, but directly converted the pseudo-color sonar image into gray-scale

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Summary

Introduction

With the continuous development of side-scan sonar technology, aspects of side-scan sonars, such as data acquisition stability, sonar image resolution, and image clarity have been improved, providing better technical support for hydrographic surveying and charting. In addition to the causes of sonar energy attenuation, side-scan sonar image is affected by beam patterns, angular responses of different sediments, and changes in seabed topography [7,8,9]. In addition to the causes of sonar energy attenuation, side-scan sonar image is affected by beam patterns, angular responses of energy attenuation, side-scan sonar image is affected by beam patterns, angular responses of different sediments, and changes in seabed topography [7,8,9]. Based on the above reasons, the gray-scale of side-scan sonar images is uneven. Gray affects the interpretation of the side-scan sonar image and the subsequent image processing.

Correction Methods
Nonlinear Compensation
Function Fitting
Sonar Propagation Attenuation Model
Beam Pattern
Gray Scale Correction Method Based on Retinex
Our Method
Experiments and Analysis
Experiments and Analysis of Parameter A
Experiments and Analysis of Parameter ɑ
Experiments and Analysis of Smoothing Function
As shown inFigure
Comparative Experiments and Analysis of Other Methods Based on Retinex
Method
Expansion of Our Method
Conclusions
Side-scan
Full Text
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