Abstract
The quality of the camera image directly determines the accuracy of the defect identification of the transmission line equipment. However, complex external factors such as haze can seriously affect the image quality of the aircraft. The traditional image dehazing methods are difficult to meet the needs of enhanced image inspection in complex environments. In this paper, the image enhancement technology in haze environment is studied, and an image dehazing method of transmission line based on densely connection pyramid network is proposed. The method uses an improved pyramid network for transmittance map calculation and uses an improved U-net network for atmospheric light value calculation. Then, the transmittance map, atmospheric light value, and dehazed image are jointly optimized to obtain image dehazing model. The method proposed in this paper can improve image brightness and contrast, increase image detail information, and can generate more realistic deblur images than traditional methods.
Highlights
In recent years, with the breakthrough of key transmission technologies such as intelligent autonomous operations and maintenance systems, UAV inspection [1,2,3,4,5,6,7] has been rapidly promoted and applied
In view of the shortcomings of the traditional image dehazing method, this paper proposes the image dehazing method of transmission line machine patrol image based on densely connected pyramid network
This paper proposes an image dehazing method of transmission line machine patrol image based on densely connected pyramid network
Summary
With the breakthrough of key transmission technologies such as intelligent autonomous operations and maintenance systems, UAV inspection [1,2,3,4,5,6,7] has been rapidly promoted and applied. The method based on image physical repair is mainly to study the degradation model of foggy image and inversely solve the optical imaging model to obtain the dehazing image. This method can retain the detailed information of the image and improve the authenticity of the image. In view of the shortcomings of the traditional image dehazing method, this paper proposes the image dehazing method of transmission line machine patrol image based on densely connected pyramid network It directly embeds the atmospheric degradation model into the deep learning framework and uses physical principles to restore the image fog. The fog image obtained by this method is closer to the real image in visual effect
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