R: Quality assessment for image reconstructions.

qmeasures {aws} | R Documentation

## Quality assessment for image reconstructions.

### Description

Computes selected criteria for quality assessments of

### Usage

    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.

### Details

Calculates specified quality indices.

### Value

A vector with names as specified in `which`.

### Author(s)

Joerg Polzehl, polzehl@wias-berlin.de, http://www.wias-berlin.de/people/polzehl/

[Package aws version 2.4-0 Index]