Computes the Peak Signal-to-Noise Ratio (PSNR) image quality metric

psnr = cv.PSNR(src1, src2)

Input

• src1 first input array (gray or color image), 8-bit integer type.
• src2 second input array of the same size and type as src1.

Output

• psnr Computed signal-to-noise ratio

This function calculates the Peak Signal-to-Noise Ratio (PSNR) image quality metric in decibels (dB), between two input arrays src1 and src2. Arrays must have uint8 depth.

The PSNR is calculated as follows:

PSNR = 10 * log10(R^2 / MSE)

where R is the maximum integer value of uint8 depth (255) and MSE is the mean squared error between the two arrays.

See PSNR for more details.