Infrared camera night vision rectification method

Abstract

The invention discloses an infrared camera night vision rectification method, belongs to the fields of a high-definition video sensing technology and a video monitoring technology, and especially relate to an infrared shooting night vision self-adaptive rectification technology. The method involves obtaining standard images of infrared interference noise under the condition of certain image exposure parameters through measuring, after standardization processing with images obtained during night normal shooting is performed, carrying out difference operation, removing the interference noise of the shot images, and obtaining rectified scene images with high definition and high contrast after denormalization. According to the invention, under the conditions that a conventional dome fitting is not changed and the film plating cost is not increased, through measurement and processing, the night infrared illumination imaging effect is remarkably improved, and finally processed images are enabled to be clear and transparent and high in resolution.

Description

technical field [0001] The invention belongs to the technical field of high-definition video sensing and video monitoring, and in particular relates to infrared camera night vision correction technology. Background technique [0002] Urban public safety is an important guarantee for urban sustainable development, video surveillance is an important means of urban public safety, and high-definition video cameras are an important development direction in the field of video surveillance. In order to realize day and night all-weather monitoring tasks and improve the quality of night video acquisition, day and night cameras with infrared lighting have been widely popularized and applied. The video camera for day and night all-weather monitoring is composed of an image sensor, an optical lens, an infrared lighting device LED and a transparent dome cover. The structure is as follows: figure 1 shown. [0003] In order to achieve the purposes of fire protection, explosion protection...

AI Technical Summary

Problems solved by technology

[0006] Since the reflectivity of the target scene in night vision is not high, the light intensity of the reflected light of the target scene entering the lens and the interference light entering the lens and reaching the sensor can be compared. When the two are superimposed, the target signal is submerged by the background noise, so that the ingested The image is blurred and the contrast is weak, and the actual scene image cannot be seen clearly

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