Abstract
Underwater images are often deteriorated with blurring, darkness, poor visual quality of low contrast, and color diminishing. This is mainly due to the fact that the light is exponentially attenuated while traveling through water and the strength of attenuation is color dependent. After constructing a simplified image formation model, this paper proposes a new strategy for single underwater image restoration. In light of different perspectives, two distinct transmission coefficient estimation approaches have been developed. One is based on the optical characteristics while the other relies on the essence of image processing knowledge. Subsequently, these two transmission maps are fused to produce the final outcome, which is adaptively weighted by their respective saliency maps. The obtained signal radiance is dissolved through point spread function deconvolution and color compensation to produce the final scene radiance. A variety of underwater images with various scenarios were exploited to evaluate the restoration performance. Experimental results demonstrated the superiority of the proposed algorithm over other competitive methods for underwater image restoration.
Highlights
With rapid advancement in technology the number of underwater images of many kinds has been increased dramatically in recent years
Underwater imaging plays an essential role in a variety of fields such as marine biology, undersea archaeology, mine and wreckage detection, water fauna identification and assessment, and ocean sciences
Inspired by the DCP, we previously proposed a new dark channel prior-water (DCP-W) for a haze-free underwater image [42]
Summary
With rapid advancement in technology the number of underwater images of many kinds has been increased dramatically in recent years. Underwater imaging plays an essential role in a variety of fields such as marine biology, undersea archaeology, mine and wreckage detection, water fauna identification and assessment, and ocean sciences. Underwater images are often degraded with blurriness, darkness, low contrast, and color diminishing due to particular propagation properties of light absorption and scattering along with unstable environments of water turbidness and light changing [1]. This necessitates the need to either enhance or restore underwater images before further processing and analysis. The reasons for underwater image degradation can be realized from the characteristics of optics in water.
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