org.openimaj.image.saliency

Class DepthOfFieldEstimator

java.lang.Object

org.openimaj.image.saliency.DepthOfFieldEstimator

All Implemented Interfaces:

ImageAnalyser<FImage>, SaliencyMapGenerator<FImage>

@Reference(type=Inproceedings,
           author={"Luo, Yiwen","Tang, Xiaoou"},
           title="Photo and Video Quality Evaluation: Focusing on the Subject",
           year="2008",
           booktitle="Proceedings of the 10th European Conference on Computer Vision: Part III",
           pages={"386","","399"},
           url="http://dx.doi.org/10.1007/978-3-540-88690-7_29",
           publisher="Springer-Verlag",
           series="ECCV \'08",
           customData={"isbn","978-3-540-88689-1","location","Marseille, France","numpages","14","doi","10.1007/978-3-540-88690-7_29","acmid","1478204","address","Berlin, Heidelberg"})
public class DepthOfFieldEstimator
extends Object
implements SaliencyMapGenerator<FImage>

Construct a map that shows the "focus" of each pixel. A value of 0 in the output corresponds to a sharp pixel, whilst higher values correspond to more blurred pixels. Algorithm based on: Yiwen Luo and Xiaoou Tang. 2008. Photo and Video Quality Evaluation: Focusing on the Subject. In Proceedings of the 10th European Conference on Computer Vision: Part III (ECCV '08), David Forsyth, Philip Torr, and Andrew Zisserman (Eds.). Springer-Verlag, Berlin, Heidelberg, 386-399. DOI=10.1007/978-3-540-88690-7_29 http://dx.doi.org/10.1007/978-3-540-88690-7_29 Note that this is not scale invariant - you will get different results with different sized images...

Author:

Jonathon Hare (jsh2@ecs.soton.ac.uk)

Field Summary

Fields

Modifier and Type	Field and Description
protected int	kernelSizeStep
protected int	maxKernelSize
protected int	nbins
protected int	windowSize
protected float[][]	xHistograms
protected float[][]	yHistograms

Constructor Summary

Constructors

Constructor and Description
DepthOfFieldEstimator() Construct with the default values (max kernel size = 50, step size = 1, 41 bins, window size of 3).
DepthOfFieldEstimator(int maxKernelSize, int kernelSizeStep, int nbins, int windowSize) Construct with the given parameters.

Method Summary

Modifier and Type	Method and Description
void	analyseImage(FImage image) Analyse an image.
protected void	clearHistograms()
FImage	getSaliencyMap() Get the generated saliency map

Methods inherited from class java.lang.Object

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

Field Detail

maxKernelSize

protected int maxKernelSize

kernelSizeStep

protected int kernelSizeStep

nbins

protected int nbins

windowSize

protected int windowSize

xHistograms

protected float[][] xHistograms

yHistograms

protected float[][] yHistograms

Constructor Detail

DepthOfFieldEstimator

public DepthOfFieldEstimator(int maxKernelSize,
                             int kernelSizeStep,
                             int nbins,
                             int windowSize)

Construct with the given parameters.

Parameters:

maxKernelSize - Maximum kernel size.

kernelSizeStep - Kernel step size.

nbins - Number of bins.

windowSize - window size.

DepthOfFieldEstimator

public DepthOfFieldEstimator()

Construct with the default values (max kernel size = 50, step size = 1, 41 bins, window size of 3).

Method Detail

clearHistograms

protected void clearHistograms()

analyseImage

public void analyseImage(FImage image)

Description copied from interface: ImageAnalyser

Analyse an image.

Specified by:

analyseImage in interface ImageAnalyser<FImage>

Parameters:

image - The image to process in place.

getSaliencyMap

public FImage getSaliencyMap()

Description copied from interface: SaliencyMapGenerator

Get the generated saliency map

Specified by:

getSaliencyMap in interface SaliencyMapGenerator<FImage>

Returns:

the saliency map