Color correction method and evaluation method for panorama camera

Abstract

The invention provides a color correction method and evaluation method for a panorama camera and belongs to the technical field of image processing. The method comprises the steps of S1, collecting raw images comprising standard color cards in preset environments; S2, preprocessing the raw images; S3, extracting R, G and B mean parameters of the preprocessed images; S4, obtaining correction coefficients of reference images and observation images based on a polynomial regression correction model; S5, establishing color correction models of the reference images and the observation images and obtaining color correction coefficients; and S6, correcting camera images online through utilization of the trained color correction models and correction coefficients. According to the method, the constancy of the image can be effectively kept, colors of a practical scene can be effectively restored, and the image quality of the panorama camera is effectively improved.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a color correction method and an evaluation method for a panoramic camera. Background technique [0002] Image color is important information reflecting the observed object. Due to differences in lighting conditions, shooting angles and lens modules, the image captured by the camera has color distortion compared with the actual scene image, and cannot fully reproduce the color of the real object. Color correction is a key technology for color restoration and consistent color presentation. At present, color correction technology has been applied in image processing fields such as medical images, license images, and photographic equipment. [0003] Aiming at the problem of color distortion, many methods of image color correction have been proposed one after another, mainly divided into traditional methods and deep learning methods. The traditional method collects fewer image sample...

AI Technical Summary

Problems solved by technology

[0002] Image color is an important information that reflects the observed object. Due to the difference in lighting conditions, shooting angles and lens modules, the image captured by the camera has color distortion compared with the actual scene image, and cannot fully reproduce the color of the real object.

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