Psnr for color images

1. How do you calculate the PSNR of a color image?
2. What is a good PSNR value for images?
3. How to calculate PSNR for color image in matlab?
4. Is it better to have a higher PSNR?

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 a good PSNR value for images?

Typical values for the PSNR in lossy image and video compression are between 30 and 50 dB, provided the bit depth is 8 bits, where higher is better. The processing quality of 12-bit images is considered high when the PSNR value is 60 dB or higher. For 16-bit data typical values for the PSNR are between 60 and 80 dB.

How to calculate PSNR for color image in matlab?

Description. peaksnr = psnr( A , ref ) calculates the peak signal-to-noise ratio (PSNR) for the image A , with the image ref as the reference. A greater PSNR value indicates better image quality. peaksnr = psnr( A , ref , peakval ) calculates the PSNR of image A using the peak signal value peakval .

Is it better to have a higher PSNR?

Description. The PSNR block computes the peak signal-to-noise ratio, in decibels, between two images. This ratio is used as a quality measurement between the original and a compressed image. The higher the PSNR, the better the quality of the compressed, or reconstructed image.