Using Color Spaces HSV, YIQ and Comparison in Analysis Hazy Image Quality

Analysis images hazy is difficult problem, thus these images need to determined quality the after dehazing. In this paper, were compared to, HSV, YIQ color spaces, adopted in analyze the dust images. we designed the system captured images which graded for high to very low dusty by using HeNe laser, in these images we calculated the normalize mean square error (NMSE) for each components in HSV, YIQ and RGB color space separately, and the basic components in the structure similarity Index (SSIM) are (contrast, structure and luminance) moreover the mean for all has been calculated. We noted from results spaces, HSV, YIQ chromatic that there is a similarity in analysis of images dusty when compared. This means that the use of any color space gives almost the same results Keywords: The hazy image, contrast, Image quality, Intensity, luminance HSV, YIQ and RGB color spaces. DOI : 10.7176/APTA/76-03 Publication date :March 31 st 2019