Atmospheric degradation image enhancement method based on multi-scale analysis and depth estimation

Abstract

An atmospheric degraded image enhancement method based on multi-scale analysis comprises the steps of obtaining an atmospheric optical value of an image, obtaining a rough transmittance matrix in the image, optimizing the rough transmittance matrix through a linear scaling method to obtain a fine transmittance matrix, optimizing an original observation image into a primary regression image based on the atmospheric optical value and the fine transmittance matrix, and reinforcing image details of the primary regression image based on a multi-scale framework without vertical sampling. The atmospheric degraded image enhancement method based on multi-scale analysis is aimed at the atmospheric regression image, the rough transmittance matrix is built, refining optimization of the transmittance matrix is achieved, depth information is estimated in a fine mode, the atmospheric optical value is obtained through analysis by combining an edge matrix, and regression of the atmospheric regression image is achieved according to construction of a degradation model, reinforcement is further achieved by using the multi-scale framework without vertical sampling, and a good reinforcement effect can be obtained. The atmospheric degraded image enhancement method based on multi-scale analysis can be applied to remote-sensing imaging, traffic monitoring imaging and the like, and rapidly achieves reinforcement of the atmospheric degraded image.

Description

technical field [0001] The invention relates to image processing technology, in particular to an image enhancement method of atmospheric degradation based on multi-scale analysis and depth estimation. Background technique [0002] As computer vision systems are applied to outdoor scenes, such as urban traffic monitoring, aerial photography, remote sensing imaging, etc., some problems need to be solved, especially computer vision systems are very sensitive to the environment. Under fog, haze and other weather conditions, a large number of tiny water droplets and aerosols suspended in the atmosphere, the absorption and scattering of these factors reduce the visibility, resulting in serious degradation of the collected images, which greatly limits the function of the system. [0003] In severe weather conditions such as fog and haze, a large number of suspended particles, water droplets, etc. cause light to scatter, and the reflected light on the surface of the object is attenu...

AI Technical Summary

Problems solved by technology

Under fog, haze and other weather conditions, a large number of tiny water droplets and aerosols suspended in the atmosphere, the absorption and scattering of these factors reduce the visibility, resulting in serious degradation of the collected images, which greatly limits the function of the system

[0003] In severe weather conditions such as fog and haze, a large number of suspended particles, water droplets, etc. cause light to scatter, and the reflected light on the surface of the object is attenuated due to this scattering. This attenuation of light intensity will inevitably lead to a decrease in imaging brightness. It leads to image blur and resolution reduction; in addition, other light in the sky participates in object imaging due to the scattering of particles and water droplets, which reduces the contrast of the image

Images