Fast defogging method for underground pipeline images based on dark channel color prior

Abstract

The present invention proposes a fast underground pipeline image defogging method based on dark channel prior. By preprocessing the image of the foggy underground pipeline, the dark primary color image corresponding to the foggy image is obtained; mean filtering is performed on the acquired dark primary color image to estimate the image transmittance; an offset value is compensated for the result of the mean filtering to obtain the transmission The rough estimate of the rate; the pixel value of the original image and the mean-filtered image is used to estimate the global atmospheric light; the physical restoration model is used to restore the image after dehazing. The beneficial effect of the present invention is that the method not only guarantees a certain defogging effect, but also takes into account the rapidity of the algorithm, can realize real-time defogging, and is suitable for scientific fields such as video monitoring of underground pipeline environments, underground pipeline disease identification, and the like.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a fast defogging algorithm for underground pipeline images based on dark channel priors. Background technique [0002] In the environment of urban underground pipelines, the internal images of the pipeline acquired by the pipeline disease detection robot play an important role in the identification of pipeline diseases. The image of the pipeline received has degradation phenomena such as low contrast and fuzzy details, which affect the normal work of the vision system of the pipeline inspection robot. Therefore, it is necessary to dehaze and restore the collected images. [0003] At present, researchers mainly study the problem of image dehazing from two directions: the direction based on image enhancement and the direction based on physical model. The defogging method in the direction of image enhancement is mainly aimed at the degraded image itself, using image processing meth...

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Problems solved by technology

However, this method uses the soft matting method to refine the transmittance map, resulting in high algorithm complexity, which cannot meet the requirements of video stream processing, and cannot be used for real-time defogging processing.

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