/* * Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * * Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * Neither the name of NVIDIA CORPORATION nor the names of its * contributors may be used to endorse or promote products derived * from this software without specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY * EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR * PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY * OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. */ /** * @file * Libargus Extension: Non Linear Histogram * * @b Description: This file defines the Non Linear Histogram extension, and provide * methods to interpret non linear data in case of compressed data */ #ifndef _ARGUS_NON_LINEAR_HISTOGRAM_H #define _ARGUS_NON_LINEAR_HISTOGRAM_H namespace Argus { /** * This adds a method to interpret the compressed histogram data correctly * It introduces one new interface: * - Ext::INonLinearHistogram: returns a list of normalized bin indices that map bins from * getHistogram() to compressed pixel values. * @defgroup ArgusExtNonLinearHistogram Ext::NonLinearHistogram * @ingroup ArgusExtensions */ DEFINE_UUID(ExtensionName, EXT_NON_LINEAR_HISTOGRAM, 45b6a850,e801,11e8,b568,08,00,20,0c,9a,66); namespace Ext { /** * @class INonLinearHistogram * * Interface used to query the metadata to correctly interpret the compressed histogram data. * Returns the normalized bin values to correctly interpret the compressed bayer histogram * data. This interface will only be exposed in case the histogram is compressed. * * This interface is available from: * - Histogram child objects returned by ICaptureMetadata::getBayerHistogram() * * @ingroup ArgusCaptureMetadata ArgusExtNonLinearHistogram */ DEFINE_UUID(InterfaceID, IID_NON_LINEAR_HISTOGRAM, 6e337ec0,e801,11e8,b568,08,00,20,0c,9a,66); class INonLinearHistogram : public Interface { public: static const InterfaceID& id() { return IID_NON_LINEAR_HISTOGRAM; } /** * Returns the average bayer values of bins for bayer histogram data. * * @param[out] binValues Returns the normalized average bin values (float in [0,1]) for * bins provided by IBayerHistogram interface. * In case the histogram data provided by IBayerHistogram::getHistogram() * is non-linear, this method will return a vector having the same size as * histogram (i.e. IBayerHistogram::getBinCount()), and will contain * normalized bayer colour values to which the histogram bin of the same * index corresponds. * * For Example, in case of Non Linear Histogram * * IBayerHistogram->getHistogram(&histogram); * INonLinearHistogram->getBinValues(&values); * * for(int i = 0 ; i < histogram.size() ; i++) * { * cout<<" bin: " << i * <<" normalized bin Value: " << values[i] * <<" frequency: " << histogram[i]; * } */ virtual Status getHistogramBinValues(std::vector< BayerTuple >* binValues) const = 0; protected: ~INonLinearHistogram() {} }; } // namespace Ext } // namespace Argus #endif // _ARGUS_NON_LINEAR_HISTOGRAM_H