Haze removing method for single image based on image haze concentration estimate

Abstract

The invention discloses a haze removing method for a single image based on image haze concentration estimate. The method comprises the following steps: 1) inputting a haze image; 2) converting the inputted image from the RGB space into the HSV space; dividing SV channel images and calculating the characteristic vectors of the local blocks; 3) with the target of making the lowest image haze concentration, calculating the initialized optimal atmosphere transmission value for the haze image; 4) using a guide filter to refine the optimal atmosphere transmission value; and 5) calculating the refined optimal atmosphere transmission value, the atmosphere light estimation value as well as the brightness value of each pixel in the haze image to obtain a clear image. According to the invention, through the conversion of image haze removal into the problem of haze concentration minimizing, the atmosphere transmission value can be determined accurately so as to remove the haze as much as possible and to avoid the severe halo formation and image noise in the saturated areas. Not only the haze can be eliminated effectively, but also the halo formation and image noise can be controlled not to rise. Therefore, the method can be applied to different complex weathers.

Description

A Single Image Dehazing Method Based on Image Haze Concentration Estimation technical field The invention belongs to the field of image processing, in particular to a method for defogging a single image based on image haze density estimation. Background technique Image degradation in foggy days is mainly due to the serious absorption, scattering and reflection of light by molecules in the atmosphere, water vapor and aerosols composed of a large number of suspended particles, resulting in reduced atmospheric visibility, coupled with the influence of atmospheric turbulence, resulting in visible light The image color of the imaging system will become darker and the contrast ratio will be reduced, which seriously affects the use of the imaging system. Therefore, it is of great significance to analyze the causes of haze, study the technology of defogging, and improve the visibility of images under haze weather conditions. Among them, the method of defogging and restoration ba...

AI Technical Summary

Problems solved by technology

The present invention proposes a method for defogging a single image based on image haze concentration estimation. halo and noise amplification

Images