aws (version 1.8-0)

risk-methods: Compute risks characterizing the quality of smoothing results

Description

Methods function risk in package aws. For an given array u the following statistics are computed : Root Mean Squared Error RMSE <- sqrt(mean((y-u)^2)), Signal to Noise Ratio SNR <- 10*log(mean(u^2)/MSE,10), Peak Signal to Noise Ratio PSNR <- 10*log(max(u^2)/MSE,10), Mean Absolute Error MAE <- mean(abs(y-u)), Maximal Absolute Error MaxAE <- max(abs(y-u)), Universal Image Quality Index (UIQI) (Wang and Bovik (2002)).

Usage

## S3 method for class 'array':
risk(y, u=0)
  ## S3 method for class 'aws':
risk(y, u=0)
  ## S3 method for class 'awssegment':
risk(y, u=0)
  ## S3 method for class 'ICIsmooth':
risk(y, u=0)
  ## S3 method for class 'kernsm':
risk(y, u=0)
  ## S3 method for class 'numeric':
risk(y, u=0)

Arguments

y

object

u

array of dimension dim(y) or dim(extract(y,what="yhat")$y) or scalar value used in comparisons.

References

V. Katkovnik, K. Egiazarian and J. Astola, Local Approximation Techniques in Signal And Image Processing, SPIE Society of Photo-Optical Instrumentation Engin., 2006, PM157

Z. Wang and A. C. Bovik, A universal image quality index, IEEE Signal Processing Letters, vol. 9, N3, pp. 81-84, 2002.