Quality assessment for image reconstructions.

Computes selected criteria for quality assessments of

qmeasures(img, ref,
  which = c("PSNR", "MAE", "MSE", "RMSE", "SSIM", "MAGE", "RMSGE"),
  mask = FALSE)

Arguments

img	2D/3D image, object of class `"aws", "ICIsmooth", "kernsm", "nlmeans"` or array.
ref	Reference image (array, matrix or vector) for comparison.
which	Criterion to use for Quality assessment. Please specify a subset of `"PSNR"` (Peak Signal to Noise Ratio), `"MAE"` (Mean Absolute Error), `"MSE"` (Mean Squared Error), `"RMSE"` (Root Mean Squared Error), `"SSIM"` (Structural SIMilarity), `"MAGE"` (Mean Absolute Gradient Error), `"RMSGE"` (Root Mean Squared Gradient Error).
mask	Logical of same dimension as img/ref. Calculation can be restricted to mask.

Calculates specified quality indices.

A vector with names as specified in which.