“…where L is the peak signal, f is the ideal image, g is the image to be estimated, MSE(f, g) is the mean square error of the image, 2 , and M × N is the size of the image to be estimated. e structural similarity (SSIM) evaluation result is similar to the human senses, which is calculated as follows: (14) where μ f , μ g , σ f , and σ g are the mean values and standard deviations of the ideal image f and the image g to be evaluated, respectively, σ fg is the covariance of f and g, c 1 � (k 1 R) 2 , c 2 � (k 2 R) 2 , R is the range of image pixel values, k 1 and k 2 are 0.01 and 0.03, respectively, c 3 � c 2 /2, α � β � c � 1, and L(f, g), C(f, g), and S(f, g) represent image brightness, structure, and contrast, respectively.…”