Rapid single-image defogging algorithm

Abstract

The invention discloses a rapid single-image defogging algorithm based on dark channel prior and information synthesis and implementation of the rapid single-image defogging algorithm based on dark channel prior and information synthesis on hardware platforms. A transmission image required by a defogging model is rapidly synthesized through the minimum value in an R channel, a G channel and a B channel in image color space, image gradients and a dark channel image with specific conditions, the step of solving the transmission image with a soft matting method in an original dark channel prior defogging algorithm is replaced, and dark channel calculation is optimized. By means of the rapid single-image defogging algorithm, original calculation of large-scale sparse matrixes is changed into comparison among corresponding pixels of several different information images, the calculation amount is greatly decreased, and results with the ideal degree the same as that of results of the original algorithm can be obtained under most conditions; meanwhile, as the calculation amount is decreased, and floating point calculation with the quite high accuracy requirement in the original algorithm is replaced by the pixel comparison method, the rapid single-image defogging algorithm can be more easily implemented on the hardware platforms such as FPGA and DSP; in addition, as the consumed time of the rapid single-image defogging algorithm is greatly shortened, and the rapid single-image defogging algorithm can be implemented on the hardware platforms, the real-time processing capacity is theoretically achieved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular, to an image clearing technology for processing fog and haze weather conditions, that is, a single image fast defogging algorithm based on dark channel prior and information synthesis. Background technique [0002] The image defogging problem belongs to the ill posed problem or inverse problem in image processing in mathematical analysis. This kind of problem often has many unknown parameters and no objective evaluation standard. Therefore, the early research on the image defogging algorithm all sampled the related means of image enhancement, and realized the restoration of the visual effect of the image by studying the brightness contrast of the image. This method was summarized as a non-physical model method. With the development of theory, more and more attention has been paid to the process of image degradation. The purpose is to obtain the original image throug...

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Problems solved by technology

However, this method may oversaturate the color and produce a halo effect at the border of the deep scene mutation (The Halo Effect)

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