Non-uniform de-Scattering and de-Blurring of Underwater Images

• Published in: Mobile networks and applications Vol. 23; no. 2; pp. 352 - 362
• Main Authors: Li, Yujie, Lu, Huimin, Li, Kuan-Ching, Kim, Hyoungseop, Serikawa, Seiichi
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.04.2018; Springer Nature B.V
• Subjects: Blurring; Color; Communications Engineering; Computer Communication Networks; Electrical Engineering; Energy consumption; Energy transmission; Engineering; Image contrast; Image enhancement; Image processing systems; Image transmission; IT in Business; Networks; Restoration; Scattering; Turbidity; Underwater; Ocean optics; Image enhancement; Color correction; De-scattering
• ISSN: 1383-469X; 1572-8153
• DOI: 10.1007/s11036-017-0933-7

Optical underwater images often demonstrate low contrast, heavy scatter, and color distortion. Contrast enhancement methods have been proposed to solve these issues. However, such methods typically do not consider high-level inhomogeneous scatter removal and do not focus on real-scene color restoration. We proposed a hierarchical transmission fusion method and a color-line ambient light estimation method for image de-scattering from a single input image. Our proposed method can be summarized into three steps. Firstly, we take the dark channel as prior information to estimating the preliminary transmission and ambient light. In the second step, we then use color lines to estimate the refined ambient light in selected patches. The refined transmission is obtained by hierarchical transmission maps using maximum local energy-based fusion at different turbidity levels. We then use a joint normalized filter to obtain the final transmission. Finally, a chromatic color correction method and de-blurring algorithm are used to recover the scene color. Experimental results demonstrate that the accurate estimation of the depth map and ambient light by the proposed method can recover visually appealing images with sharp details.