An online anti-yellow haze color cast self-correction image enhancement system with upper and lower bounds

Abstract

The invention relates to an upper and lower bound support image enhancement system for online anti-yellow haze color deviation self-correction, including: an analysis estimator and an equalization corrector; wherein the analysis estimator includes the following modules: a color deviation estimator, an upper and lower bound preserving Edge filtering estimation; equalization corrector completes color shift correction, upper and lower bound estimates and margin constant equalization corrector. First, for imaging images affected by yellow haze, a color shift estimator for removing yellow haze is constructed; then, an upper and lower bound support estimation calculation model is established, a bidirectional iterative edge-preserving filter is proposed, and the bidirectional iterative edge-preserving filter is used for online calculation The upper and lower interface estimates are obtained, and the upper and lower bound support surfaces are solved. Then, the output of the color shift estimator corresponding to each point in the image, as well as the upper and lower bound estimated values ​​and the adjustment coefficient of the margin constant are used to equalize and correct the brightness of each channel. Image sequence is enhanced online; this invention has the characteristics of strong anti-yellow haze ability, and has the dual effects of image defogging and image enhancement. The image after online processing is transparent and clear, with bright and natural colors, high degree of restoration, and balanced brightness at the same time. And suppress the halo effect, the target stands out significantly.

Description

technical field [0001] The invention relates to an online anti-yellow smog color deviation self-correcting image enhancement system with upper and lower bound support, which belongs to the technical field of image processing. Background technique [0002] Image enhancement refers to a processing method that uses digital image processing methods to restore information from degraded images, mine potential information that is not obvious to the human eye, and highlight and enhance useful information. With the development of computer technology and the application of embedded hardware, the demand for online image enhancement has greatly increased in today's ever-growing Internet of Things application field; , image processing for removing haze in this scene is also the focus of current research; for the yellow haze formed under strong haze and special meteorological conditions, image enhancement processing also presents challenges to the restoration of yellow haze images. Fog i...

AI Technical Summary

Problems solved by technology

None of these methods have made special processing for the light transmission characteristics of haze, and the processed image has more or less distortion, which affects further enhancement processing.

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