IMAGE PROCESSING WITH COLOR COMPENSATION FOR COLOR VISION DEFICIENCY
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Abstract
Thecommonly known vision defect in human eyeball is Color vision deficiency (CVD). It is color blind type deficiency caused due to the excretion in our eyeball; this is either in the form of defect or sometimes completely missing of certain photoreceptors. Due to defect, photo receptors are unable to detect color with certain spectrum. By virtue of this people will see the different colors in the image from the real colors. For example, some people in CVD can see a red color object might appear as yellow. This is also known as red green color blindness. Furthermore, according to one report on global analysis, almost 10% men have color deficiency. The most common deficiencies are the protanopia for red-weakness and deuteranopia for green. Person who suffers from these kind of color deficiency have very hard time to distinguish between red and green color. This causes them lots of problems in their day to day activities. The objectives of this proposed research are to achieve a versatile solution for allowing researchers to test different deficiency about color vision models and to test the possibility of the three most accepted reasons for the hypotheses in dichromatic vision.
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