Method for accurately recovering original image of digital image after color correction

Abstract

The invention discloses a method for accurately recovering an original image of a digital image after color correction, and the method comprises the steps: generating a color thumbnail matrix based on K-means clustering according to the original image and the image after color correction, training a nonlinear model of a least square support vector machine, and estimating an error compensation matrix for an image saturation region; obtaining an image recovery model and embedding the image recovery model into the image; and when the original image needs to be restored, extracting model parameters from the image embedded with the restoration model to perform transformation processing, and accurately restoring to obtain the original image. According to the method provided by the invention, after the digital image is subjected to color correction or some nonlinear processing, even if partial pixel color component values exceed a gray scale range to cause truncation and saturation, the original image color can still be effectively and accurately recovered. The method provided by the invention is beneficial to good color traceability of the digital image in the transmission and copying process, and can be effectively applied to accurate readjustment of image color display and reediting after image color correction in the printing and copying process.

Description

technical field [0001] The invention relates to the technical field of graphic and text processing in printing, in particular to a method for accurately restoring the original image from a color-corrected digital image. Background technique [0002] In the process of digital image imaging, due to various reasons, such as insufficient exposure, collecting images under artificial light and special natural light, etc., the entire image will form a certain color deviation. When these images need to be accurately displayed and reproduced, it is usually necessary to use a certain method for color correction to make these images display true and correct colors. [0003] Color correction generally uses the formula: In the formula, R, G, and B are the red, green, and blue color component values ​​of the corrected image pixels, respectively, and r, g, and b are the red, green, and blue color component values ​​of the pixels in the original image, respectively; C is the color correct...

AI Technical Summary

Problems solved by technology

However, in some cases, such as when the original image needs to be accurately restored, or when the proportion of the saturated color area in the image cannot be ignored, the color of the image restored directly by inverse transformation will have a large gap with the actual original image

Images