A monocular underwater vision enhancement method based on dark channel priority

Abstract

The invention discloses a monocular underwater vision enhancement method based on dark channel priority. First, a degradation model is established for the fogging and color shift phenomena of underwater images, and the depth of field information of the underwater image is obtained by calculating the parallax of the light and dark channels; Secondly, the background color of the water body is estimated through the depth of field information; then the transmission map of the underwater environment is obtained based on the depth of field information, and the transmittance in the transmission map is adjusted in an adaptive manner; finally, the image is restored and color correction is used to correct the image Do post-processing to remove remaining color casts and adjust brightness. The present invention effectively solves the problem of underwater image enhancement through an improved dark channel priority algorithm. The model of this method is simple, has good real-time performance, and avoids the defects of complex model calculations. At the same time, the algorithm is more robust to the environment and can be widely used in shallow water, clean water, plankton-rich waters and other environments, and has broad application prospects. Application prospects and good economic benefits.

Description

technical field [0001] The invention relates to a monocular underwater vision enhancement method based on dark channel priority. The method is image processing before the application of underwater robot vision, and belongs to the application fields of underwater image processing and underwater robots. Background technique [0002] With the development of the ocean, the research of underwater robot technology has become a hot spot and trend of the present era. At present, underwater robots are widely used in underwater pipeline inspection, hull overhaul, underwater entertainment, underwater archaeology, scientific research and other fields. Some researchers have conducted research on observation-type underwater robots. The main means of environmental perception for underwater robots is images, but due to the scattering and absorption effects of water bodies on light, the underwater images will be seriously weakened, which seriously affects the smooth development of underwate...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the existing technical defects, aiming at the robustness of the underwater image enhancement algorithm to the environment and the problem of real-time processing, and proposes an underwater vision enhancement based on the priority processing of the monocular image dark channel method

For the environmental robustness problem, this algorithm adaptively adjusts the transmission map to adapt to more underwater environments

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