org.bytedeco.opencv.opencv_bioinspired

Class RetinaFastToneMapping

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.opencv.opencv_core.Algorithm

org.bytedeco.opencv.opencv_bioinspired.RetinaFastToneMapping

All Implemented Interfaces:

AutoCloseable

@Namespace(value="cv::bioinspired")
 @Properties(inherit=opencv_bioinspired.class)
public class RetinaFastToneMapping
extends Algorithm

\addtogroup bioinspired \{

/** \brief a wrapper class which allows the tone mapping algorithm of Meylan&al(2007) to be used with OpenCV.

This algorithm is already implemented in thre Retina class (retina::applyFastToneMapping) but used it does not require all the retina model to be allocated. This allows a light memory use for low memory devices (smartphones, etc. As a summary, these are the model properties: - 2 stages of local luminance adaptation with a different local neighborhood for each. - first stage models the retina photorecetors local luminance adaptation - second stage models th ganglion cells local information adaptation - compared to the initial publication, this class uses spatio-temporal low pass filters instead of spatial only filters. this can help noise robustness and temporal stability for video sequence use cases.

for more information, read to the following papers : Meylan L., Alleysson D., and Susstrunk S., A Model of Retinal Local Adaptation for the Tone Mapping of Color Filter Array Images, Journal of Optical Society of America, A, Vol. 24, N 9, September, 1st, 2007, pp. 2807-2816Benoit A., Caplier A., Durette B., Herault, J., "USING HUMAN VISUAL SYSTEM MODELING FOR BIO-INSPIRED LOW LEVEL IMAGE PROCESSING", Elsevier, Computer Vision and Image Understanding 114 (2010), pp. 758-773, DOI: http://dx.doi.org/10.1016/j.cviu.2010.01.011 regarding spatio-temporal filter and the bigger retina model : Vision: Images, Signals and Neural Networks: Models of Neural Processing in Visual Perception (Progress in Neural Processing),By: Jeanny Herault, ISBN: 9814273686. WAPI (Tower ID): 113266891.

Nested Class Summary

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
RetinaFastToneMapping(Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
void	applyFastToneMapping(GpuMat inputImage, GpuMat outputToneMappedImage)
void	applyFastToneMapping(Mat inputImage, Mat outputToneMappedImage) \brief applies a luminance correction (initially High Dynamic Range (HDR) tone mapping)
void	applyFastToneMapping(UMat inputImage, UMat outputToneMappedImage)
static RetinaFastToneMapping	create(Size inputSize)
void	setup()
void	setup(float photoreceptorsNeighborhoodRadius, float ganglioncellsNeighborhoodRadius, float meanLuminanceModulatorK) \brief updates tone mapping behaviors by adjusing the local luminance computation area

Methods inherited from class org.bytedeco.opencv.opencv_core.Algorithm

clear, empty, getDefaultName, position, read, save, save, write, write, write

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

RetinaFastToneMapping

public RetinaFastToneMapping(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

Method Detail

applyFastToneMapping

public void applyFastToneMapping(@ByVal
                                 Mat inputImage,
                                 @ByVal
                                 Mat outputToneMappedImage)

\brief applies a luminance correction (initially High Dynamic Range (HDR) tone mapping)

using only the 2 local adaptation stages of the retina parvocellular channel : photoreceptors level and ganlion cells level. Spatio temporal filtering is applied but limited to temporal smoothing and eventually high frequencies attenuation. This is a lighter method than the one available using the regular retina::run method. It is then faster but it does not include complete temporal filtering nor retina spectral whitening. Then, it can have a more limited effect on images with a very high dynamic range. This is an adptation of the original still image HDR tone mapping algorithm of David Alleyson, Sabine Susstruck and Laurence Meylan's work, please cite: -> Meylan L., Alleysson D., and Susstrunk S., A Model of Retinal Local Adaptation for the Tone Mapping of Color Filter Array Images, Journal of Optical Society of America, A, Vol. 24, N 9, September, 1st, 2007, pp. 2807-2816

Parameters:

inputImage - the input image to process RGB or gray levels

outputToneMappedImage - the output tone mapped image

applyFastToneMapping

public void applyFastToneMapping(@ByVal
                                 UMat inputImage,
                                 @ByVal
                                 UMat outputToneMappedImage)

applyFastToneMapping

public void applyFastToneMapping(@ByVal
                                 GpuMat inputImage,
                                 @ByVal
                                 GpuMat outputToneMappedImage)

setup

public void setup(float photoreceptorsNeighborhoodRadius,
                  float ganglioncellsNeighborhoodRadius,
                  float meanLuminanceModulatorK)

\brief updates tone mapping behaviors by adjusing the local luminance computation area

Parameters:

photoreceptorsNeighborhoodRadius - the first stage local adaptation area

ganglioncellsNeighborhoodRadius - the second stage local adaptation area

meanLuminanceModulatorK - the factor applied to modulate the meanLuminance information (default is 1, see reference paper)

setup

public void setup()

create

@opencv_core.Ptr
public static RetinaFastToneMapping create(@ByVal
                                                            Size inputSize)