Catalano.Imaging.Tools

Class ObjectiveFidelity

java.lang.Object

Catalano.Imaging.Tools.ObjectiveFidelity

public class ObjectiveFidelity
extends java.lang.Object

Objective Fidelity Criteria. The Objective criteria, although widely used, are not necessarily correlated with out perception of image quality. For instance, an image with a low error as determined by an objective measure may actually look much worse than an image with a high error metric. References: http://uotechnology.edu.iq/sweit/lecture%202013n/4th%20Image%20Processing%20_Lectures/DIP_Lecture13.pdf

Constructor Summary

Constructors

Constructor and Description
ObjectiveFidelity(FastBitmap original, FastBitmap reconstructed) Initialize a new instance of the ObjectiveFidelity class.

Method Summary

Modifier and Type	Method and Description
double	getDSNR() Derivative Signal noise ratio.
double	getMAE() Calculate mean absolute error.
double	getMSE() Calculate Root mean square Error.
FastBitmap	getOriginalImage() Get Original image.
double	getPSNR() Calculate PEAK signal-to-noise ratio.
double	getPSNR(int l) Calculate PEAK signal-to-noise ratio.
FastBitmap	getReconstructedImage() Get Reconstructed image.
double	getSNR() Calculate Mean square signal-to-noise ratio.
int	getTotalError() Calculate total error.
double	getUniversalQualityIndex() Calculate Universal Quality Index.
void	setOriginalImage(FastBitmap original) Set Original image.
void	setReconstructedImage(FastBitmap reconstructed) Set Reconstructed Image.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

ObjectiveFidelity

public ObjectiveFidelity(FastBitmap original,
                         FastBitmap reconstructed)

Initialize a new instance of the ObjectiveFidelity class.

Parameters:

original - Original image.

reconstructed - Reconstructed image.

Method Detail

getOriginalImage

public FastBitmap getOriginalImage()

Get Original image.

Returns:

Original image.

setOriginalImage

public void setOriginalImage(FastBitmap original)

Set Original image.

Parameters:

original - Original image.

getReconstructedImage

public FastBitmap getReconstructedImage()

Get Reconstructed image.

Returns:

Reconstructed image.

setReconstructedImage

public void setReconstructedImage(FastBitmap reconstructed)

Set Reconstructed Image.

Parameters:

reconstructed - Reconstructed image.

getTotalError

public int getTotalError()

Calculate total error.

Returns:

Total error.

getMAE

public double getMAE()

Calculate mean absolute error.

Returns:

Mean absolute error.

getMSE

public double getMSE()

Calculate Root mean square Error.

Returns:

MSE.

getSNR

public double getSNR()

Calculate Mean square signal-to-noise ratio.

Returns:

SNR.

getDSNR

public double getDSNR()

Derivative Signal noise ratio. D-SNR consider the sentivity of the human eye to the edges. Reference: A New Objective Fidelity Criterion For Image Processing: Derivative SNR - Hakki Tarkan Yalazan, and Melek D. Yucel.

Returns:

D-SNR.

getPSNR

public double getPSNR()

Calculate PEAK signal-to-noise ratio.

Returns:

PSNR.

getPSNR

public double getPSNR(int l)

Calculate PEAK signal-to-noise ratio.

Parameters:

l - Number of gray levels.

Returns:

PSNR.

getUniversalQualityIndex

public double getUniversalQualityIndex()

Calculate Universal Quality Index. References: Wang, Zhou, and Alan C. Bovik. "A universal image quality index." Signal Processing Letters, IEEE 9.3 (2002): 81-84.

Returns:

Universal Image Quality Index.