A Method of Accurately Restoring the Original Image from the Color-Corrected Digital Image

A color correction and digital image technology, applied in image enhancement, image data processing, character and pattern recognition, etc., can solve the problem that the proportion cannot be ignored, and achieve faster solution speed, good learning ability, and strong ability to represent non-linearity Effect

Active Publication Date: 2022-04-29
QILU UNIV OF TECH
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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

Method used

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  • A Method of Accurately Restoring the Original Image from the Color-Corrected Digital Image

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Embodiment Construction

[0061] A further description of the present invention will be given below in conjunction with the accompanying drawings and specific embodiments.

[0062] figure 1 It is a schematic diagram of the method for digital image restoration to the original image in the present invention, with figure 2 It is a flow chart of the working process of recovering the original image of the digital image in the present invention. exist figure 2 Among them, steps S101 to S105 are mainly used to establish an image restoration model, which is the first stage of the method of the present invention; and steps S201 to S203 are to apply the model obtained from steps S101 to S105 to restore the color corrected The original image is the second stage of this method. After the image restoration model and parameters are embedded in the color-corrected image file in the first stage, the file can be used to restore the original image by the method of the second stage, without the original image used f...

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Abstract

The invention discloses a method for accurately restoring the original image of a color-corrected digital image. According to the original image and its color-corrected image, the method generates a color abbreviated matrix based on K-means clustering, and trains least squares support vectors. machine nonlinear model, estimate the error compensation matrix for the image saturation area, obtain the image restoration model and embed it into the image; when the original image needs to be restored, the model parameters are extracted from the image embedded with the restoration model for transformation processing, and the original picture. The method provided by the invention enables the digital image to effectively and accurately restore the original image color even if the color component value of some pixels exceeds the gray scale range and causes truncation and saturation after color correction or some nonlinear processing. The method of the invention is beneficial to good color traceability in the process of transmission and reproduction of digital images, and can be effectively applied to the precise readjustment of image color display and re-editing after image color correction in the process of printing and reproduction.

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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06K9/62G06V10/762
Inventor 罗运辉王庆陈业红徐倩倩
Owner QILU UNIV OF TECH
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