A Curvelet-Transform-Based Image Fusion Method Incorporating Side-Scan Sonar Image Features

Current methods of fusing side-scan sonar images fail to tackle the issues shadow removal, preservation information from adjacent strip images, and maintenance image clarity contrast. To address these deficiencies, a novel curvelet-transform-based approach that integrates complementary attribute details is proposed. By capitalizing on multiple scales orientations curvelet transform its intricate hierarchical nature, myriad fusion rules were applied at corresponding frequency levels, enabling more-tailored technique for imagery. The experimental results validated effectiveness this method in preserving valuable reducing presence shadows ensuring both contrast fused images. meeting aforementioned challenges encountered existing methodologies, demonstrated great practical significance.