ssim/ssimlib.py
def ssim_value(self, target):
        """Compute the SSIM value from the reference image to the target image.

        Args:
          target (str or PIL.Image): Input image to compare the reference image
          to. This may be a PIL Image object or, to save time, an SSIMImage
          object (e.g. the img member of another SSIM object).

        Returns:
          Computed SSIM float value.
        """
        # Performance boost if handed a compatible SSIMImage object.
        if not isinstance(target, SSIMImage) \
          or not np.array_equal(self.gaussian_kernel_1d,
                                target.gaussian_kernel_1d):
            target = SSIMImage(target, self.gaussian_kernel_1d, self.img.size)

        img_mat_12 = self.img.img_gray * target.img_gray
        img_mat_sigma_12 = convolve_gaussian_2d(
            img_mat_12, self.gaussian_kernel_1d)
        img_mat_mu_12 = self.img.img_gray_mu * target.img_gray_mu
        img_mat_sigma_12 = img_mat_sigma_12 - img_mat_mu_12

        # Numerator of SSIM
        num_ssim = ((2 * img_mat_mu_12 + self.c_1) *
                    (2 * img_mat_sigma_12 + self.c_2))

        # Denominator of SSIM
        den_ssim = (
            (self.img.img_gray_mu_squared + target.img_gray_mu_squared +
             self.c_1) *
            (self.img.img_gray_sigma_squared +
             target.img_gray_sigma_squared + self.c_2))

        ssim_map = num_ssim / den_ssim
        index = np.average(ssim_map)
        return index
def ssim_value(self, target):
        # Performance boost if handed a compatible SSIMImage object.
        if not isinstance(target, SSIMImage) \
          or not np.array_equal(self.gaussian_kernel_1d,
                                target.gaussian_kernel_1d):
            target = SSIMImage(target, self.gaussian_kernel_1d, self.img.size)

        img_mat_12 = self.img.img_gray * target.img_gray
        img_mat_sigma_12 = convolve_gaussian_2d(
            img_mat_12, self.gaussian_kernel_1d)
        img_mat_mu_12 = self.img.img_gray_mu * target.img_gray_mu
        img_mat_sigma_12 = img_mat_sigma_12 - img_mat_mu_12

        # Numerator of SSIM
        num_ssim = ((2 * img_mat_mu_12 + self.c_1) *
                    (2 * img_mat_sigma_12 + self.c_2))

        # Denominator of SSIM
        den_ssim = (
            (self.img.img_gray_mu_squared + target.img_gray_mu_squared +
             self.c_1) *
            (self.img.img_gray_sigma_squared +
             target.img_gray_sigma_squared + self.c_2))

        ssim_map = num_ssim / den_ssim
        index = np.average(ssim_map)
        return index
def ssim_value ( self , target ) : # Performance boost if handed a compatible SSIMImage object. if not isinstance ( target , SSIMImage ) or not np . array_equal ( self . gaussian_kernel_1d , target . gaussian_kernel_1d ) : target = SSIMImage ( target , self . gaussian_kernel_1d , self . img . size ) img_mat_12 = self . img . img_gray * target . img_gray img_mat_sigma_12 = convolve_gaussian_2d ( img_mat_12 , self . gaussian_kernel_1d ) img_mat_mu_12 = self . img . img_gray_mu * target . img_gray_mu img_mat_sigma_12 = img_mat_sigma_12 - img_mat_mu_12 # Numerator of SSIM num_ssim = ( ( 2 * img_mat_mu_12 + self . c_1 ) * ( 2 * img_mat_sigma_12 + self . c_2 ) ) # Denominator of SSIM den_ssim = ( ( self . img . img_gray_mu_squared + target . img_gray_mu_squared + self . c_1 ) * ( self . img . img_gray_sigma_squared + target . img_gray_sigma_squared + self . c_2 ) ) ssim_map = num_ssim / den_ssim index = np . average ( ssim_map ) return index
Compute the SSIM value from the reference image to the target image.

        Args:
          target (str or PIL.Image): Input image to compare the reference image
          to. This may be a PIL Image object or, to save time, an SSIMImage
          object (e.g. the img member of another SSIM object).

        Returns:
          Computed SSIM float value.
Compute the SSIM value from the reference image to the target image .