Gamut Fitting And Compensation Methods For Color Vision Deficiency

People with Color Vision Deficiency(CVD)have difficulty in distinguishing colors.Approximately 200 million people worldwide are affected by CVD.The most common types of CVD in life are protanopia and deuteranopia,which are commonly referred to red-green color blindness.Protanopia and deuteranopia are determined by genes on the X chromosome of the sex chromosomes.Therefore,men are much more likely to have the disease than women.Since this is a genetic disease,it cannot be cured by current medical treatments.This impairment can result in loss of identifiable information so that seriously affect individual daily life and may even expose them to dangerous situations.To help CVD patients improve their daily life,some researchers have conducted the following two-part research.1.Simulation models are constructed to simulate the colors seen by patients with color vision deficiency.There are currently two mainstream models that simulate in LMS color space and RGB space respectively.However,these two spaces are not consistent with human eye perception,so someone converts the simulation results to the CIE L*a*b*(Lab)color space.2.Image recoloring approaches were proposed to compensate for loss of contrast caused by CVD.Existing recoloring methods fail to maintain a balance between naturalness and contrast,that is,to maintain naturalness while enhancing contrast,and avoid reducing image quality.Furthermore,the existing methods hardly consider the luminance component.Some methods also suffer from computational efficiency issues.In this paper,in order to maintain the balance of naturalness and contrast,while achieving fast solution.We propose a novel recoloring method to compensate,which enhances the contrast by taking the luminance component into account,while preserving naturalness by limiting the compensation range.For better compensation,we fit a new surface to more accurately represent the dichromatic gamut in the Lab color space.Furthermore,a corresponding discrete solver is designed to solve the computational efficiency problem.For effective evaluation,qualitative,quantitative and subjective experiments are conducted,and a new metric called ’preference’ is proposed to comprehensively evaluate contrast enhancement and naturalness preservation.The evaluation results show that the proposed method maintains a good balance between contrast and naturalness,and is more favored by experimenters.