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 interface support image enhancement system having an on-line yellow haze-resistant color cast self-correcting function. The upper and lower interface support image enhancement system includes an analysis estimator and an equalization corrector, wherein the analysis estimator comprises a color cast estimator for upper and lower interface edge-preserving filter estimation; and the equalization corrector completes color cast correction, upper and lower interface estimated values, and a margin constant. First the color cast estimator for removing yellowhaze is constructed against an image affected by yellow haze; an upper and lower interface support estimation calculation model is established, a bidirectional iterative edge-preserving filter is proposed, and the upper and lower interface support curved surface is solved by utilizing upper interface estimation and lower interface estimation which are calculated on line by utilizing the bidirectional iterative edge-preserving filter; the color cast estimator output corresponding to each point of the image and the upper and lower interface estimated values and the margin constant are utilized to equalize and correct the brightness of each channel, and an image sequence is enhanced on line. The upper and lower interface support image enhancement system has the advantage of strong yellow hazeresistance and has dual effects of image defogging and image enhancement, the image having been processed on line is transparent, clear, bright and natural in color and high in reduction degree, theeffects of brightness balance and halo inhibition are achieved, and a target is prominent.

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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