Method and device for weakening image

Abstract

The invention provides a method and a device for weakening an image. The method comprises the following steps of: (1) randomly selecting a pixel point A of which a gray value is X in the current image, wherein X is the maximum gravy value which is allowed by the image; respectively searching pixel points from two ends of a first straight line by using the point A as a reference on the first straight line on which the pixel point A is passed through; respectively finding out a pixel point B and a pixel point C of which the first gray values are not X, wherein a midpoint of the pixel point B and the pixel point C is D; searching pixel points from two ends of a second straight line by using the midpoint D as the reference on a second straight line on which the pixel point D is passed through and which is perpendicular to the first straight line; and respectively finding out a pixel point E and a pixel point F of which the first gray values are not X, wherein a midpoint of the pixel point E and the pixel point F is zero; and (2) acquiring a strong light circle center according to a set condition; and (3) weakening the gray value of the original image by using the strong light circle center as the circle center. By the method and the device, the strong light circle center in the image can be accurately found out, a strong light area of the original image is effectively weakened, and a requirement on real-time processing of a vehicle-mounted night vision imaging system is met.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to an image weakening method and device. Background technique [0002] In recent years, with the development of the automobile industry, the number of automobiles has increased rapidly. According to the statistics of the U.S. National Highway Traffic Safety Administration (NHTSA), the proportion of driving at night only accounts for a quarter of the entire highway traffic, but traffic fatal accidents occur when driving at night account for half. The reason is that in addition to the impact of vehicle conditions and driving skills, poor vision at night is the most important factor causing traffic accidents. How to improve the safety of drivers, passengers and third parties has become a topic of increasing concern in recent years. [0003] The irradiation range of the low beam of the headlights of ordinary cars is only 30 meters away, so the light of the car lights does n...

AI Technical Summary

Problems solved by technology

[0004] The biggest disadvantage of active infrared night vision technology: when there is strong light on the opposite side, especially when the opposite car uses high beams, huge light spots will appear in the night vision image, making it impossible for the driver to see clearly through active infrared night vision technology Ahead and Surroundings

However, in the process of image weakening, the most important thing is the detection and positioning of strong light sources. Due to the particularity of night vision images, it is difficult for the classic Hough transform to accurately locate the center of strong light sources, so the original image cannot be weakened or the weakening effect is very poor.

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