Class MultiGuidedFilter
- java.lang.Object
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- java.lang.Thread
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- gov.nih.mipav.model.algorithms.AlgorithmBase
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- gov.nih.mipav.model.algorithms.filters.MultiGuidedFilter
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- All Implemented Interfaces:
java.awt.event.ActionListener,java.awt.event.WindowListener,java.lang.Runnable,java.util.EventListener
public class MultiGuidedFilter extends AlgorithmBase
This is a port of multi_guided_est.py by Yiqian Wang. References: 1.) Feature preserving image denoising with multiresolution filters by Yiqian Wang and You-Yi Jau. 2.) D. L. Donoho and I. M. Johnstone. "Ideal spatial adaptation by wavelet shrinkage." Biometrika 81.3 (1994): 425-455. :DOI:10.1093/biomet/81.3.425 3.) Reference: J. Immerkaer, "Fast Noise Variance Estimation", Computer Vision and Image Understanding, Vol. 64, No. 2, pp. 300-302, Sep. 1996 [PDF]
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Field Summary
Fields Modifier and Type Field Description private intdprivate doubleepsilonprivate booleanestimateNoiseStandardDeviationprivate intfilterTypeprivate doublenoiseStandardDeviationprivate intwavelet_levelsprivate PyWavelets.WAVELET_NAMEwavelet_nameprivate intwavelet_order-
Fields inherited from class gov.nih.mipav.model.algorithms.AlgorithmBase
destFlag, destImage, image25D, mask, maxProgressValue, minProgressValue, multiThreadingEnabled, nthreads, progress, progressModulus, progressStep, runningInSeparateThread, separable, srcImage, threadStopped
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Constructor Summary
Constructors Constructor Description MultiGuidedFilter(ModelImage destImg, ModelImage srcImg, PyWavelets.WAVELET_NAME wavelet_name, int wavelet_order, int wavelet_levels, boolean estimateNoiseStandardDeviation, double noiseStandardDeviation, int filterType, int d)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description private double_bayes_thresh(double[][] details, double var)private double_sigma_est_dwt(double[][] detail_coeffs, java.lang.String distribution)doubleestimate_noise_fast(double[][] img)double[][]hard(double[][] data, double value, double substitute)voidrunAlgorithm()Actually runs the algorithm.voidrunColorImage()voidrunGrayImage()double[][]soft(double[][] data, double value, double substitute)-
Methods inherited from class gov.nih.mipav.model.algorithms.AlgorithmBase
actionPerformed, addListener, addProgressChangeListener, calculateImageSize, calculatePrincipleAxis, computeElapsedTime, computeElapsedTime, convertIntoFloat, delinkProgressToAlgorithm, delinkProgressToAlgorithmMulti, displayError, errorCleanUp, finalize, fireProgressStateChanged, fireProgressStateChanged, fireProgressStateChanged, fireProgressStateChanged, fireProgressStateChanged, generateProgressValues, getDestImage, getElapsedTime, getMask, getMaxProgressValue, getMinProgressValue, getNumberOfThreads, getProgress, getProgressChangeListener, getProgressChangeListeners, getProgressModulus, getProgressStep, getProgressValues, getSrcImage, isCompleted, isImage25D, isMultiThreadingEnabled, isRunningInSeparateThread, isThreadStopped, linkProgressToAlgorithm, linkProgressToAlgorithm, makeProgress, notifyListeners, removeListener, removeProgressChangeListener, run, setCompleted, setImage25D, setMask, setMaxProgressValue, setMinProgressValue, setMultiThreadingEnabled, setNumberOfThreads, setProgress, setProgressModulus, setProgressStep, setProgressValues, setProgressValues, setRunningInSeparateThread, setSrcImage, setStartTime, setThreadStopped, startMethod, windowActivated, windowClosed, windowClosing, windowDeactivated, windowDeiconified, windowIconified, windowOpened
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Methods inherited from class java.lang.Thread
activeCount, checkAccess, clone, countStackFrames, currentThread, dumpStack, enumerate, getAllStackTraces, getContextClassLoader, getDefaultUncaughtExceptionHandler, getId, getName, getPriority, getStackTrace, getState, getThreadGroup, getUncaughtExceptionHandler, holdsLock, interrupt, interrupted, isAlive, isDaemon, isInterrupted, join, join, join, onSpinWait, resume, setContextClassLoader, setDaemon, setDefaultUncaughtExceptionHandler, setName, setPriority, setUncaughtExceptionHandler, sleep, sleep, start, stop, suspend, toString, yield
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Field Detail
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wavelet_name
private PyWavelets.WAVELET_NAME wavelet_name
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wavelet_order
private int wavelet_order
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wavelet_levels
private int wavelet_levels
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estimateNoiseStandardDeviation
private boolean estimateNoiseStandardDeviation
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noiseStandardDeviation
private double noiseStandardDeviation
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filterType
private int filterType
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d
private int d
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epsilon
private double epsilon
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Constructor Detail
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MultiGuidedFilter
public MultiGuidedFilter(ModelImage destImg, ModelImage srcImg, PyWavelets.WAVELET_NAME wavelet_name, int wavelet_order, int wavelet_levels, boolean estimateNoiseStandardDeviation, double noiseStandardDeviation, int filterType, int d)
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Method Detail
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runAlgorithm
public void runAlgorithm()
Description copied from class:AlgorithmBaseActually runs the algorithm. Implemented by inheriting algorithms.- Specified by:
runAlgorithmin classAlgorithmBase
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runGrayImage
public void runGrayImage()
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runColorImage
public void runColorImage()
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_bayes_thresh
private double _bayes_thresh(double[][] details, double var)
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hard
public double[][] hard(double[][] data, double value, double substitute)
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soft
public double[][] soft(double[][] data, double value, double substitute)
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estimate_noise_fast
public double estimate_noise_fast(double[][] img)
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_sigma_est_dwt
private double _sigma_est_dwt(double[][] detail_coeffs, java.lang.String distribution)
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