Determining the quality of the hazy image is difficult problem, thus these images need to analyzing after determined the qualityor dehazing. In this paper, we analyzed the hazy (by the dust) images depending on YCBCR color space. First we designed thesystem captured images which graded for high to very low hazy (by adding the dust) by using He-Ne laser, due to it have lowpower, in these images we calculated the Normalize Mean Square error (NMSE) as a function of lase intensity .for eachcomponents in YCBCR and RGB color space, and the basic components in the Structure Similarity Index (SSIM) are (contrast,structure and luminance) moreover the mean for all has been calculated. We can see the lightness (in YCBCR) and luminance (in SSIM) component are not effected by the dust whereas the chromatic components are highly effected by the dust.