The underwater polarization dehazing imaging with a lightweight convolutional neural network

Underwater Polarization Imaging Recovery Based on Polarimetric Residual Dense Network

“…In addition, compared to the image recovery results by using different dehazing methods: the polarization dehazing [29] (see plots (II) in Fig. 5), the CNN polarization dehazing [21] (see plots (III) in Fig. 5) and the dark channel [30] (see plots (IV) in Fig.…”

“…In this work, we propose a robust method for underwater dehazing technology by combining the polarization light dehazing technique and deep learning method. Different from the previous work [21], there is no estimation for analytical formula or important parameters in this deep learning model. The mapping relations between the input polarization component images and the groud truth are obtained by the four-input deep learning model.…”

“…The governing model for the actual physical process is usually ignored in the neural network, which results in some inefficient efforts and inaccurate results. The lightweight convolutional neural network for underwater polarization dehazing imaging by combining both the advantages of deep learning and polarization dehazing imaging technology is demonstrated in our recent work [21], which can rapidly achieve a better dehazing imaging effect than that of conventional dehazing methods. Nevertheless, the development and improvement of the network model for deep learning-based underwater dehazing imaging is an urgent topic to explore for the applications, especially the special design scheme of the neural network for the guiding learning under considering the governing physical model for the particular case.…”

Fast processing of underwater active polarimetric dehazing imaging without prior knowledge

“…Underwater imaging technologies have attracted extensive attention and research 1 – 3 due to their wide range of applications in underwater rescue, marine resource exploration, and other fields. However, the improvement of the efficiency and quality of underwater imaging remains a challenging topic because of the existence of scattering and absorption of the target light by suspended particles in the water.…”

“…However, the improvement of the efficiency and quality of underwater imaging remains a challenging topic because of the existence of scattering and absorption of the target light by suspended particles in the water. A large number of underwater dehazing imaging methods have been proposed to improve the quality of underwater imaging 1 – 7 In particular, the polarization-based underwater dehazing imaging technology has received increased attention after the classic underwater polarization dehazing imaging model proposed by Schechner and co-authors 3 , 4 .…”