Howtosignalprocessing
- How is PSNR calculated?
- How do you calculate the PSNR of a color image?
- What is peak signal-to-noise ratio in image processing?
How is PSNR calculated?
Peak signal-to-noise ratio (PSNR) is the ratio between the maximum possible power of an image and the power of corrupting noise that affects the quality of its representation. To estimate the PSNR of an image, it is necessary to compare that image to an ideal clean image with the maximum possible power.
How do you calculate the PSNR of a color image?
mse = mean(mean((im2double(I) - im2double(K)). ^2, 1), 2); psnr = 10 * log10(1 ./ mean(mse,3)); It should work for integer and floating-point images, both grayscale and color images.
What is peak signal-to-noise ratio in image processing?
The term peak signal-to-noise ratio (PSNR) is an expression for the ratio between the maximum possible value (power) of a signal and the power of distorting noise that affects the quality of its representation.
