Scanned image color cast automatic detection method

Abstract

The invention provides a scanned image color cast automatic detection method. When being scanned by a scanner, an image is easily affected by an ambient light source, reflecting characteristics of the image, photosensitive coefficients of collecting equipment and the like as to ensure that color cast exists in an obtained image through scanning. Even CIEL*a*b* color space having nothing to do with the equipment is selected through the method, then statistics are conducted on chrominance information, an average chrominance value, average chrominance center distance and color cast factors of the scanned image, and last, the chrominance information, the average chrominance value, the average chrominance center distance and the color cast factors are compared with a standard average chrominance value obtained by a typical standard non-color-cast image so as to judge whether color cast exists in the scanned image and specific color cast conditions. The scanned image color cast automatic detection method can accurately and automatically detect the color cast of the scanned image, is high in accuracy and reliability, and meanwhile can make certain evaluation to color cast degrees of the scanned image.

Description

technical field [0001] The invention belongs to the field of image quality detection and analysis, in particular to an automatic detection method for scanned image color shift. Background technique [0002] When the image acquisition equipment collects images, it is easily affected by the ambient light source, the reflection characteristics of the object itself, and the light sensitivity coefficient of the acquisition equipment, so that there is a deviation between the collected image color and the real image color, which is called image color cast. As the most widely used image acquisition equipment, scanners also have color cast in scanned images. Therefore, how to accurately detect the color shift of the image is a key prerequisite for correcting the color shift, and it is an urgent problem to be solved for the scanner to obtain high-quality scanned images. [0003] The degree of image color shift is one of the key indicators for evaluating the quality of digital images....

AI Technical Summary

Problems solved by technology

These algorithms have certain limitations. They cannot detect the color shift of the image correctly and reliably under any circumstances, let alone estimate the degree of color shift of the image accurately, and cannot quantify it.

Images