Improved color image color enhancement method for dichromatic vision

Abstract

The invention discloses an improved color image color enhancement method for dichromatic vision. For an image to be subjected to color correction, clustering is carried out in a u'v' space to obtain main colors of the image, and then u'v' are converted into R and theta. Theta of several main colors is remapped into theta'according to the sequence of confusion priorities and an improved method, andeach pixel point belonging to the kth main color is correspondingly adjusted into theta 0 + (theta k-theta'k) according to the original angle theta 0 of the pixel point, so that the tone difference between different colors is ensured. Meanwhile, the image brightness is adjusted based on the Rij and Lij of the pixel point, the main color radius mean value and the maximum main color radius difference Rmax-Rmin, so that the visual difference between colors is improved, the visual experience of a two-color viewer is improved, and the dependence on a clustering result is reduced.

Description

technical field [0001] The invention relates to an improved color image enhancement method for dichromatic vision. It belongs to the technical fields of computer vision, digital image processing and color enhancement. Background technique [0002] Modern anatomy has verified that there are three kinds of pyramidal cells in the human eye, that is, there are three kinds of pyramidal cells in the human eye, namely L pyramidal cells (sensitive to long-band light), M pyramidal cells (sensitive to medium-band light) ), S cone cells (sensitive to short-wavelength light). The so-called "color blindness" and "colour weakness" are due to the lack or damage of a certain type of pyramidal cells, which leads to the inability to normally distinguish specific bands of visible light in the natural spectrum. Apart from expensive gene therapy, there is no other way to cure them. [0003] Among the color vision disorders, dichromatic vision and abnormal trichromatic vision account for the va...

AI Technical Summary

Problems solved by technology

[0005] Since then, many experts and scholars have conducted rich discussions and researches on image enhancement methods for dichromatic vision, mainly including remapping and brightness adjustment methods. However, due to the lack of cone cells in dichromatic vision, three-dimensional color information is regarded as a secondary Remapping and brightness adjustment without combining image content information will often create new color confusion. Therefore, current research mainly focuses on color enhancement based on image content.

Images