Real-time image defogging method based on CUDA (Compute Unified Device Architecture)

Abstract

The invention relates to the fields of computer application technology and computer vision, and particularly relates to a real-time image defogging method based on CUDA (Compute Unified Device Architecture). The real-time image defogging method comprises the following steps of: creating a collaborative work environment of a CPU (Central Processing Unit) and a GPU (Graphics Processing Unit) by utilizing the CUDA; inputting an original foggy image and obtaining a dark primary-color image of the original foggy image as well as an atmospheric light value of the dark primary-color image; obtaining an initial transmissivity value of the original foggy image according to dark channel priority, and obtaining the optimized transmittivity by utilizing a guide filtering algorithm; and determining a defogged restored image according to the original foggy image, the transmissivity distribution and the atmospheric light value in an atmospheric scattering model. According to the real-time image defogging method disclosed by the invention, a programming model in which the CPU and the GPU work cooperatively is established by sufficiently combining the advantages of the CPU and the GPU; the atmospheric light value and the transmittivity distribution are estimated by utilizing the dark channel priority knowledge and the atmospheric scattering model, so that a good and quick restoring effect of a real-time fog-degraded image is finally realized.

Description

technical field [0001] The invention relates to the fields of computer application technology and computer vision, in particular to a CUDA-based real-time image defogging method. Background technique [0002] Image dehazing is an important topic in the field of computer vision. Clearing foggy images can increase the visual effect of images. Under weather conditions such as fog and haze, the irradiance of the scene is scattered by the suspended particles in the atmosphere, the visibility of the outdoor scene is reduced, the contrast and color of the target in the image are attenuated, and the recognizability of the scene is greatly reduced. At the same time, with the development of social economy, fields such as intelligent video surveillance, target recognition and detection, and remote sensing applications rely more and more on video images, and it is very necessary to eliminate the impact of fog in images on scene targets. [0003] Image defogging algorithms are mainly di...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a real-time image defogging method based on CUDA, which solves the problems that the prior art image defogging method has high requirements for equipment, time-consuming calculation and insufficient image clarity

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