The PSNR measures image distortion and noise level between images; a higher PSNR value indicates higher image quality. PSNR calculates the PSNR ratio in decibels from the two images. This ratio is used to measure the quality of the original image and the resultant image. To calculate the PSNR, the mean squared error (MSE) was used to compare the “true” pixel values of the original image with respect to the synthesized image. The MSE represents the average of the squares of the "errors" between the actual image and the noisy image.
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