A Novel Image Fusion Approach for Underwater Blurred Images

The main purpose of underwater image fusion is to combine multi-images about the same object into a high-quality image with abundant information. A new underwater image fusion scheme based on Biorthogonal wavelet transform was presented, which is suitable to underwater computer vision system of AUV. Firstly, median filter algorithm was involved for improving the quality and contrast of two source underwater blurred images. Secondly, the different-position-focused underwater images were decomposed by Biorthogonal wavelet and the wavelet coefficients were acquired for reconstructing the fusion image. Finally, the fused image was constructed using the low-frequency and high-frequency domain fusion rules. By adopting a series of experiments for the underwater images fusion, an integrated underwater image with visible outline and distinguishable inner details was obtained.