Image adaptive defogging method

Abstract

The invention discloses an image self-adaptive defogging method. The implementation structure comprises an image sensor module, an image self-adaptive defogging module and a general video transmissioninterface module. According to the invention, an image sensor is used for processing collected data through an image self-adaptive defogging module, and encoding and outputting are carried out according to a general video transmission format. The image self-adaptive defogging module can automatically judge input image data, automatically determine whether a scene needs defogging or not, automatically delineate a sky area and execute defogging operation on a pixel area needing defogging. According to the method, the self-adaptive defogging function can be integrated into the equipment, so thatthe capability of the target equipment for collecting information in a foggy scene is improved, and richer original information is provided for subsequent digital image processing.

Description

technical field [0001] The invention relates to the field of digital image processing, especially the implementation of image algorithms with a high degree of integration with the platform, and the image processing method in the application scene of edge computing, which is closely related to the image adaptive defogging algorithm and the functional integration application of the camera. Background technique [0002] Image defogging is widely used in many fields such as transportation system, security field, remote sensing monitoring, unmanned aerial vehicle technology, shipping and maritime affairs. Dehazing the original input image can effectively increase the amount of information that humans can obtain from the image. At present, the technology of defogging based on image enhancement usually ignores the degree of color reproduction and local detail processing. Although the image restoration algorithm has a good degree of color reproduction, it is usually difficult to achi...

AI Technical Summary

Problems solved by technology

However, the previous processing methods do not have a mechanism for automatically judging whether the image is foggy, that is, it is impossible to judge whether the input image is foggy.

The previous method cannot deal with the halo effect of the image at the depth fault during the implementation process, and the processing of the image has obvious artificial effects

Images