net.imglib2.algorithm.metrics.imagequality

Class PSNR

java.lang.Object

net.imglib2.algorithm.metrics.imagequality.PSNR

public class PSNR
extends Object

Compute the peak signal-to-noise ratio (PSNR) between a reference and a processed image. The metrics runs on the whole image, whether 2D or 3D. In order to get individual slice PSNR, run the metrics on each slice independently.

Author:

Joran Deschamps

See Also:

PSNR on Wikipedia

Constructor Summary

Constructors

Constructor and Description
PSNR()

Method Summary

Modifier and Type	Method and Description
static <T extends net.imglib2.type.numeric.RealType<T>> double	computeMetrics(net.imglib2.RandomAccessibleInterval<T> reference, net.imglib2.RandomAccessibleInterval<T> processed) Compute the peak signal-to-noise ratio (PSNR) score between reference and processed images.

Methods inherited from class java.lang.Object

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

Constructor Detail

PSNR

public PSNR()

Method Detail

computeMetrics

public static <T extends net.imglib2.type.numeric.RealType<T>> double computeMetrics(net.imglib2.RandomAccessibleInterval<T> reference,
                                                                                     net.imglib2.RandomAccessibleInterval<T> processed)

Compute the peak signal-to-noise ratio (PSNR) score between reference and processed images. The metrics run on the whole image (regardless of the dimensions).

Type Parameters:

T - Type of the image pixels

Parameters:

reference - Reference image

processed - Processed image

Returns:

Metrics score