modules/video_processing/main/source/deflickering.cc - external/webrtc/stable/src - Git at Google

 /*
  *  Copyright (c) 2011 The WebRTC project authors. All Rights Reserved.
  *
  *  Use of this source code is governed by a BSD-style license
  *  that can be found in the LICENSE file in the root of the source
  *  tree. An additional intellectual property rights grant can be found
  *  in the file PATENTS.  All contributing project authors may
  *  be found in the AUTHORS file in the root of the source tree.
  */


 #include <math.h>
 #include <stdlib.h>

 #include "deflickering.h"
 #include "trace.h"
 #include "signal_processing_library.h"
 #include "sort.h"

 namespace webrtc {

 // Detection constants
 enum { kFrequencyDeviation = 39 };      // (Q4) Maximum allowed deviation for detection
 enum { kMinFrequencyToDetect = 32 };    // (Q4) Minimum frequency that can be detected
 enum { kNumFlickerBeforeDetect = 2 };   // Number of flickers before we accept detection
 enum { kMeanValueScaling = 4 };         // (Q4) In power of 2
 enum { kZeroCrossingDeadzone = 10 };    // Deadzone region in terms of pixel values

 // Deflickering constants
 // Compute the quantiles over 1 / DownsamplingFactor of the image.
 enum { kDownsamplingFactor = 8 };
 enum { kLog2OfDownsamplingFactor = 3 };

 // To generate in Matlab:
 // >> probUW16 = round(2^11 * [0.05,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,0.95,0.97]);
 // >> fprintf('%d, ', probUW16)
 // Resolution reduced to avoid overflow when multiplying with the (potentially) large
 // number of pixels.
 const WebRtc_UWord16 VPMDeflickering::_probUW16[kNumProbs] =
     {102, 205, 410, 614, 819, 1024, 1229, 1434, 1638, 1843, 1946, 1987}; // <Q11>

 // To generate in Matlab:
 // >> numQuants = 14; maxOnlyLength = 5;
 // >> weightUW16 = round(2^15 * [linspace(0.5, 1.0, numQuants - maxOnlyLength)]);
 // >> fprintf('%d, %d,\n ', weightUW16);
 const WebRtc_UWord16 VPMDeflickering::_weightUW16[kNumQuants - kMaxOnlyLength] =
     {16384, 18432, 20480, 22528, 24576, 26624, 28672, 30720, 32768}; // <Q15>

 VPMDeflickering::VPMDeflickering() :
     _id(0)
 {
     Reset();
 }

 VPMDeflickering::~VPMDeflickering()
 {
 }

 WebRtc_Word32
 VPMDeflickering::ChangeUniqueId(const WebRtc_Word32 id)
 {
     _id = id;
     return 0;
 }

 void
 VPMDeflickering::Reset()
 {
     _meanBufferLength = 0;
     _detectionState = 0;
     _frameRate = 0;

     memset(_meanBuffer, 0, sizeof(WebRtc_Word32) * kMeanBufferLength);
     memset(_timestampBuffer, 0, sizeof(WebRtc_Word32) * kMeanBufferLength);

     // Initialize the history with a uniformly distributed histogram
     _quantHistUW8[0][0] = 0;
     _quantHistUW8[0][kNumQuants - 1] = 255;
     for (WebRtc_Word32 i = 0; i < kNumProbs; i++)
     {
         _quantHistUW8[0][i + 1] = static_cast<WebRtc_UWord8>((WEBRTC_SPL_UMUL_16_16(
             _probUW16[i], 255) + (1 << 10)) >> 11); // Unsigned round. <Q0>
     }

     for (WebRtc_Word32 i = 1; i < kFrameHistorySize; i++)
     {
         memcpy(_quantHistUW8[i], _quantHistUW8[0], sizeof(WebRtc_UWord8) * kNumQuants);
     }
 }

 WebRtc_Word32
 VPMDeflickering::ProcessFrame(VideoFrame* frame,
                               VideoProcessingModule::FrameStats* stats)
 {
     assert(frame);
     WebRtc_UWord32 frameMemory;
     WebRtc_UWord8 quantUW8[kNumQuants];
     WebRtc_UWord8 maxQuantUW8[kNumQuants];
     WebRtc_UWord8 minQuantUW8[kNumQuants];
     WebRtc_UWord16 targetQuantUW16[kNumQuants];
     WebRtc_UWord16 incrementUW16;
     WebRtc_UWord8 mapUW8[256];

     WebRtc_UWord16 tmpUW16;
     WebRtc_UWord32 tmpUW32;
     int width = frame->Width();
     int height = frame->Height();

     if (frame->Buffer() == NULL)
     {
         WEBRTC_TRACE(webrtc::kTraceError, webrtc::kTraceVideoPreocessing, _id,
                      "Null frame pointer");
         return VPM_GENERAL_ERROR;
     }

     // Stricter height check due to subsampling size calculation below.
     if (width == 0 || height < 2)
     {
         WEBRTC_TRACE(webrtc::kTraceError, webrtc::kTraceVideoPreocessing, _id,
                      "Invalid frame size");
         return VPM_GENERAL_ERROR;
     }

     if (!VideoProcessingModule::ValidFrameStats(*stats))
     {
         WEBRTC_TRACE(webrtc::kTraceError, webrtc::kTraceVideoPreocessing, _id,
                      "Invalid frame stats");
         return VPM_GENERAL_ERROR;
     }

     if (PreDetection(frame->TimeStamp(), *stats) == -1)
     {
         return VPM_GENERAL_ERROR;
     }

     // Flicker detection
     WebRtc_Word32 detFlicker = DetectFlicker();
     if (detFlicker < 0)
     { // Error
         return VPM_GENERAL_ERROR;
     }
     else if (detFlicker != 1)
     {
         return 0;
     }

     // Size of luminance component
     const WebRtc_UWord32 ySize = height * width;

     const WebRtc_UWord32 ySubSize = width * (((height - 1) >>
         kLog2OfDownsamplingFactor) + 1);
     WebRtc_UWord8* ySorted = new WebRtc_UWord8[ySubSize];
     WebRtc_UWord32 sortRowIdx = 0;
     for (int i = 0; i < height; i += kDownsamplingFactor)
     {
         memcpy(ySorted + sortRowIdx * width,
                frame->Buffer() + i * width, width);
         sortRowIdx++;
     }

     webrtc::Sort(ySorted, ySubSize, webrtc::TYPE_UWord8);

     WebRtc_UWord32 probIdxUW32 = 0;
     quantUW8[0] = 0;
     quantUW8[kNumQuants - 1] = 255;

     // Ensure we won't get an overflow below.
     // In practice, the number of subsampled pixels will not become this large.
     if (ySubSize > (1 << 21) - 1)
     {
         WEBRTC_TRACE(webrtc::kTraceError, webrtc::kTraceVideoPreocessing, _id,
             "Subsampled number of pixels too large");
         return -1;
     }

     for (WebRtc_Word32 i = 0; i < kNumProbs; i++)
     {
         probIdxUW32 = WEBRTC_SPL_UMUL_32_16(ySubSize, _probUW16[i]) >> 11; // <Q0>
         quantUW8[i + 1] = ySorted[probIdxUW32];
     }

     delete [] ySorted;
     ySorted = NULL;

     // Shift history for new frame.
     memmove(_quantHistUW8[1], _quantHistUW8[0], (kFrameHistorySize - 1) * kNumQuants *
         sizeof(WebRtc_UWord8));
     // Store current frame in history.
     memcpy(_quantHistUW8[0], quantUW8, kNumQuants * sizeof(WebRtc_UWord8));

     // We use a frame memory equal to the ceiling of half the frame rate to ensure we
     // capture an entire period of flicker.
     frameMemory = (_frameRate + (1 << 5)) >> 5; // Unsigned ceiling. <Q0>
                                                 // _frameRate in Q4.
     if (frameMemory > kFrameHistorySize)
     {
         frameMemory = kFrameHistorySize;
     }

     // Get maximum and minimum.
     for (WebRtc_Word32 i = 0; i < kNumQuants; i++)
     {
         maxQuantUW8[i] = 0;
         minQuantUW8[i] = 255;
         for (WebRtc_UWord32 j = 0; j < frameMemory; j++)
         {
             if (_quantHistUW8[j][i] > maxQuantUW8[i])
             {
                 maxQuantUW8[i] = _quantHistUW8[j][i];
             }

             if (_quantHistUW8[j][i] < minQuantUW8[i])
             {
                 minQuantUW8[i] = _quantHistUW8[j][i];
             }
         }
     }

     // Get target quantiles.
     for (WebRtc_Word32 i = 0; i < kNumQuants - kMaxOnlyLength; i++)
     {
         targetQuantUW16[i] = static_cast<WebRtc_UWord16>((WEBRTC_SPL_UMUL_16_16(
             _weightUW16[i], maxQuantUW8[i]) + WEBRTC_SPL_UMUL_16_16((1 << 15) -
             _weightUW16[i], minQuantUW8[i])) >> 8); // <Q7>
     }

     for (WebRtc_Word32 i = kNumQuants - kMaxOnlyLength; i < kNumQuants; i++)
     {
         targetQuantUW16[i] = ((WebRtc_UWord16)maxQuantUW8[i]) << 7;
     }

     // Compute the map from input to output pixels.
     WebRtc_UWord16 mapUW16; // <Q7>
     for (WebRtc_Word32 i = 1; i < kNumQuants; i++)
     {
         // As quant and targetQuant are limited to UWord8, we're safe to use Q7 here.
         tmpUW32 = static_cast<WebRtc_UWord32>(targetQuantUW16[i] -
             targetQuantUW16[i - 1]); // <Q7>
         tmpUW16 = static_cast<WebRtc_UWord16>(quantUW8[i] - quantUW8[i - 1]); // <Q0>

         if (tmpUW16 > 0)
         {
             incrementUW16 = static_cast<WebRtc_UWord16>(WebRtcSpl_DivU32U16(tmpUW32,
                 tmpUW16)); // <Q7>
          }
         else
         {
             // The value is irrelevant; the loop below will only iterate once.
             incrementUW16 = 0;
         }

         mapUW16 = targetQuantUW16[i - 1];
         for (WebRtc_UWord32 j = quantUW8[i - 1]; j < (WebRtc_UWord32)(quantUW8[i] + 1); j++)
         {
             mapUW8[j] = (WebRtc_UWord8)((mapUW16 + (1 << 6)) >> 7); // Unsigned round. <Q0>
             mapUW16 += incrementUW16;
         }
     }

     // Map to the output frame.
     uint8_t* buffer = frame->Buffer();
     for (WebRtc_UWord32 i = 0; i < ySize; i++)
     {
       buffer[i] = mapUW8[buffer[i]];
     }

     // Frame was altered, so reset stats.
     VideoProcessingModule::ClearFrameStats(stats);

     return 0;
 }

 /**
    Performs some pre-detection operations. Must be called before
    DetectFlicker().

    \param[in] timestamp Timestamp of the current frame.
    \param[in] stats     Statistics of the current frame.

    \return 0: Success\n
            2: Detection not possible due to flickering frequency too close to
               zero.\n
           -1: Error
 */
 WebRtc_Word32
 VPMDeflickering::PreDetection(const WebRtc_UWord32 timestamp,
                               const VideoProcessingModule::FrameStats& stats)
 {
     WebRtc_Word32 meanVal; // Mean value of frame (Q4)
     WebRtc_UWord32 frameRate = 0;
     WebRtc_Word32 meanBufferLength; // Temp variable

     meanVal = ((stats.sum << kMeanValueScaling) / stats.numPixels);
     /* Update mean value buffer.
      * This should be done even though we might end up in an unreliable detection.
      */
     memmove(_meanBuffer + 1, _meanBuffer, (kMeanBufferLength - 1) * sizeof(WebRtc_Word32));
     _meanBuffer[0] = meanVal;

     /* Update timestamp buffer.
      * This should be done even though we might end up in an unreliable detection.
      */
     memmove(_timestampBuffer + 1, _timestampBuffer, (kMeanBufferLength - 1) *
         sizeof(WebRtc_UWord32));
     _timestampBuffer[0] = timestamp;

     /* Compute current frame rate (Q4) */
     if (_timestampBuffer[kMeanBufferLength - 1] != 0)
     {
         frameRate = ((90000 << 4) * (kMeanBufferLength - 1));
         frameRate /= (_timestampBuffer[0] - _timestampBuffer[kMeanBufferLength - 1]);
     }else if (_timestampBuffer[1] != 0)
     {
         frameRate = (90000 << 4) / (_timestampBuffer[0] - _timestampBuffer[1]);
     }

     /* Determine required size of mean value buffer (_meanBufferLength) */
     if (frameRate == 0) {
         meanBufferLength = 1;
     }
     else {
         meanBufferLength = (kNumFlickerBeforeDetect * frameRate) / kMinFrequencyToDetect;
     }
     /* Sanity check of buffer length */
     if (meanBufferLength >= kMeanBufferLength)
     {
         /* Too long buffer. The flickering frequency is too close to zero, which
          * makes the estimation unreliable.
          */
         _meanBufferLength = 0;
         return 2;
     }
     _meanBufferLength = meanBufferLength;

     if ((_timestampBuffer[_meanBufferLength - 1] != 0) && (_meanBufferLength != 1))
     {
         frameRate = ((90000 << 4) * (_meanBufferLength - 1));
         frameRate /= (_timestampBuffer[0] - _timestampBuffer[_meanBufferLength - 1]);
     }else if (_timestampBuffer[1] != 0)
     {
         frameRate = (90000 << 4) / (_timestampBuffer[0] - _timestampBuffer[1]);
     }
     _frameRate = frameRate;

     return 0;
 }

 /**
    This function detects flicker in the video stream. As a side effect the mean value
    buffer is updated with the new mean value.

    \return 0: No flickering detected\n
            1: Flickering detected\n
            2: Detection not possible due to unreliable frequency interval
           -1: Error
 */
 WebRtc_Word32 VPMDeflickering::DetectFlicker()
 {
     /* Local variables */
     WebRtc_UWord32  i;
     WebRtc_Word32  freqEst;       // (Q4) Frequency estimate to base detection upon
     WebRtc_Word32  retVal = -1;

     /* Sanity check for _meanBufferLength */
     if (_meanBufferLength < 2)
     {
         /* Not possible to estimate frequency */
         return(2);
     }
     /* Count zero crossings with a dead zone to be robust against noise.
      * If the noise std is 2 pixel this corresponds to about 95% confidence interval.
      */
     WebRtc_Word32 deadzone = (kZeroCrossingDeadzone << kMeanValueScaling); // Q4
     WebRtc_Word32 meanOfBuffer = 0; // Mean value of mean value buffer
     WebRtc_Word32 numZeros     = 0; // Number of zeros that cross the deadzone
     WebRtc_Word32 cntState     = 0; // State variable for zero crossing regions
     WebRtc_Word32 cntStateOld  = 0; // Previous state variable for zero crossing regions

     for (i = 0; i < _meanBufferLength; i++)
     {
         meanOfBuffer += _meanBuffer[i];
     }
     meanOfBuffer += (_meanBufferLength >> 1); // Rounding, not truncation
     meanOfBuffer /= _meanBufferLength;

     /* Count zero crossings */
     cntStateOld = (_meanBuffer[0] >= (meanOfBuffer + deadzone));
     cntStateOld -= (_meanBuffer[0] <= (meanOfBuffer - deadzone));
     for (i = 1; i < _meanBufferLength; i++)
     {
         cntState = (_meanBuffer[i] >= (meanOfBuffer + deadzone));
         cntState -= (_meanBuffer[i] <= (meanOfBuffer - deadzone));
         if (cntStateOld == 0)
         {
             cntStateOld = -cntState;
         }
         if (((cntState + cntStateOld) == 0) && (cntState != 0))
         {
             numZeros++;
             cntStateOld = cntState;
         }
     }
     /* END count zero crossings */

     /* Frequency estimation according to:
      * freqEst = numZeros * frameRate / 2 / _meanBufferLength;
      *
      * Resolution is set to Q4
      */
     freqEst = ((numZeros * 90000) << 3);
     freqEst /= (_timestampBuffer[0] - _timestampBuffer[_meanBufferLength - 1]);

     /* Translate frequency estimate to regions close to 100 and 120 Hz */
     WebRtc_UWord8 freqState = 0; // Current translation state;
                                // (0) Not in interval,
                                // (1) Within valid interval,
                                // (2) Out of range
     WebRtc_Word32 freqAlias = freqEst;
     if (freqEst > kMinFrequencyToDetect)
     {
         WebRtc_UWord8 aliasState = 1;
         while(freqState == 0)
         {
             /* Increase frequency */
             freqAlias += (aliasState * _frameRate);
             freqAlias += ((freqEst << 1) * (1 - (aliasState << 1)));
             /* Compute state */
             freqState = (abs(freqAlias - (100 << 4)) <= kFrequencyDeviation);
             freqState += (abs(freqAlias - (120 << 4)) <= kFrequencyDeviation);
             freqState += 2 * (freqAlias > ((120 << 4) + kFrequencyDeviation));
             /* Switch alias state */
             aliasState++;
             aliasState &= 0x01;
         }
     }
     /* Is frequency estimate within detection region? */
     if (freqState == 1)
     {
         retVal = 1;
     }else if (freqState == 0)
     {
         retVal = 2;
     }else
     {
         retVal = 0;
     }
     return retVal;
 }

 } //namespace
	/*
	* Copyright (c) 2011 The WebRTC project authors. All Rights Reserved.
	*
	* Use of this source code is governed by a BSD-style license
	* that can be found in the LICENSE file in the root of the source
	* tree. An additional intellectual property rights grant can be found
	* in the file PATENTS. All contributing project authors may
	* be found in the AUTHORS file in the root of the source tree.
	*/


	#include <math.h>
	#include <stdlib.h>

	#include "deflickering.h"
	#include "trace.h"
	#include "signal_processing_library.h"
	#include "sort.h"

	namespace webrtc {

	// Detection constants
	enum { kFrequencyDeviation = 39 }; // (Q4) Maximum allowed deviation for detection
	enum { kMinFrequencyToDetect = 32 }; // (Q4) Minimum frequency that can be detected
	enum { kNumFlickerBeforeDetect = 2 }; // Number of flickers before we accept detection
	enum { kMeanValueScaling = 4 }; // (Q4) In power of 2
	enum { kZeroCrossingDeadzone = 10 }; // Deadzone region in terms of pixel values

	// Deflickering constants
	// Compute the quantiles over 1 / DownsamplingFactor of the image.
	enum { kDownsamplingFactor = 8 };
	enum { kLog2OfDownsamplingFactor = 3 };

	// To generate in Matlab:
	// >> probUW16 = round(2^11 * [0.05,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,0.95,0.97]);
	// >> fprintf('%d, ', probUW16)
	// Resolution reduced to avoid overflow when multiplying with the (potentially) large
	// number of pixels.
	const WebRtc_UWord16 VPMDeflickering::_probUW16[kNumProbs] =
	{102, 205, 410, 614, 819, 1024, 1229, 1434, 1638, 1843, 1946, 1987}; // <Q11>

	// To generate in Matlab:
	// >> numQuants = 14; maxOnlyLength = 5;
	// >> weightUW16 = round(2^15 * [linspace(0.5, 1.0, numQuants - maxOnlyLength)]);
	// >> fprintf('%d, %d,\n ', weightUW16);
	const WebRtc_UWord16 VPMDeflickering::_weightUW16[kNumQuants - kMaxOnlyLength] =
	{16384, 18432, 20480, 22528, 24576, 26624, 28672, 30720, 32768}; // <Q15>

	VPMDeflickering::VPMDeflickering() :
	_id(0)
	{
	Reset();
	}

	VPMDeflickering::~VPMDeflickering()
	{
	}

	WebRtc_Word32
	VPMDeflickering::ChangeUniqueId(const WebRtc_Word32 id)
	{
	_id = id;
	return 0;
	}

	void
	VPMDeflickering::Reset()
	{
	_meanBufferLength = 0;
	_detectionState = 0;
	_frameRate = 0;

	memset(_meanBuffer, 0, sizeof(WebRtc_Word32) * kMeanBufferLength);
	memset(_timestampBuffer, 0, sizeof(WebRtc_Word32) * kMeanBufferLength);

	// Initialize the history with a uniformly distributed histogram
	_quantHistUW8[0][0] = 0;
	_quantHistUW8[0][kNumQuants - 1] = 255;
	for (WebRtc_Word32 i = 0; i < kNumProbs; i++)
	{
	_quantHistUW8[0][i + 1] = static_cast<WebRtc_UWord8>((WEBRTC_SPL_UMUL_16_16(
	_probUW16[i], 255) + (1 << 10)) >> 11); // Unsigned round. <Q0>
	}

	for (WebRtc_Word32 i = 1; i < kFrameHistorySize; i++)
	{
	memcpy(_quantHistUW8[i], _quantHistUW8[0], sizeof(WebRtc_UWord8) * kNumQuants);
	}
	}

	WebRtc_Word32
	VPMDeflickering::ProcessFrame(VideoFrame* frame,
	VideoProcessingModule::FrameStats* stats)
	{
	assert(frame);
	WebRtc_UWord32 frameMemory;
	WebRtc_UWord8 quantUW8[kNumQuants];
	WebRtc_UWord8 maxQuantUW8[kNumQuants];
	WebRtc_UWord8 minQuantUW8[kNumQuants];
	WebRtc_UWord16 targetQuantUW16[kNumQuants];
	WebRtc_UWord16 incrementUW16;
	WebRtc_UWord8 mapUW8[256];

	WebRtc_UWord16 tmpUW16;
	WebRtc_UWord32 tmpUW32;
	int width = frame->Width();
	int height = frame->Height();

	if (frame->Buffer() == NULL)
	{
	WEBRTC_TRACE(webrtc::kTraceError, webrtc::kTraceVideoPreocessing, _id,
	"Null frame pointer");
	return VPM_GENERAL_ERROR;
	}

	// Stricter height check due to subsampling size calculation below.
	if (width == 0 \|\| height < 2)
	{
	WEBRTC_TRACE(webrtc::kTraceError, webrtc::kTraceVideoPreocessing, _id,
	"Invalid frame size");
	return VPM_GENERAL_ERROR;
	}

	if (!VideoProcessingModule::ValidFrameStats(*stats))
	{
	WEBRTC_TRACE(webrtc::kTraceError, webrtc::kTraceVideoPreocessing, _id,
	"Invalid frame stats");
	return VPM_GENERAL_ERROR;
	}

	if (PreDetection(frame->TimeStamp(), *stats) == -1)
	{
	return VPM_GENERAL_ERROR;
	}

	// Flicker detection
	WebRtc_Word32 detFlicker = DetectFlicker();
	if (detFlicker < 0)
	{ // Error
	return VPM_GENERAL_ERROR;
	}
	else if (detFlicker != 1)
	{
	return 0;
	}

	// Size of luminance component
	const WebRtc_UWord32 ySize = height * width;

	const WebRtc_UWord32 ySubSize = width * (((height - 1) >>
	kLog2OfDownsamplingFactor) + 1);
	WebRtc_UWord8* ySorted = new WebRtc_UWord8[ySubSize];
	WebRtc_UWord32 sortRowIdx = 0;
	for (int i = 0; i < height; i += kDownsamplingFactor)
	{
	memcpy(ySorted + sortRowIdx * width,
	frame->Buffer() + i * width, width);
	sortRowIdx++;
	}

	webrtc::Sort(ySorted, ySubSize, webrtc::TYPE_UWord8);

	WebRtc_UWord32 probIdxUW32 = 0;
	quantUW8[0] = 0;
	quantUW8[kNumQuants - 1] = 255;

	// Ensure we won't get an overflow below.
	// In practice, the number of subsampled pixels will not become this large.
	if (ySubSize > (1 << 21) - 1)
	{
	WEBRTC_TRACE(webrtc::kTraceError, webrtc::kTraceVideoPreocessing, _id,
	"Subsampled number of pixels too large");
	return -1;
	}

	for (WebRtc_Word32 i = 0; i < kNumProbs; i++)
	{
	probIdxUW32 = WEBRTC_SPL_UMUL_32_16(ySubSize, _probUW16[i]) >> 11; // <Q0>
	quantUW8[i + 1] = ySorted[probIdxUW32];
	}

	delete [] ySorted;
	ySorted = NULL;

	// Shift history for new frame.
	memmove(_quantHistUW8[1], _quantHistUW8[0], (kFrameHistorySize - 1) * kNumQuants *
	sizeof(WebRtc_UWord8));
	// Store current frame in history.
	memcpy(_quantHistUW8[0], quantUW8, kNumQuants * sizeof(WebRtc_UWord8));

	// We use a frame memory equal to the ceiling of half the frame rate to ensure we
	// capture an entire period of flicker.
	frameMemory = (_frameRate + (1 << 5)) >> 5; // Unsigned ceiling. <Q0>
	// _frameRate in Q4.
	if (frameMemory > kFrameHistorySize)
	{
	frameMemory = kFrameHistorySize;
	}

	// Get maximum and minimum.
	for (WebRtc_Word32 i = 0; i < kNumQuants; i++)
	{
	maxQuantUW8[i] = 0;
	minQuantUW8[i] = 255;
	for (WebRtc_UWord32 j = 0; j < frameMemory; j++)
	{
	if (_quantHistUW8[j][i] > maxQuantUW8[i])
	{
	maxQuantUW8[i] = _quantHistUW8[j][i];
	}

	if (_quantHistUW8[j][i] < minQuantUW8[i])
	{
	minQuantUW8[i] = _quantHistUW8[j][i];
	}
	}
	}

	// Get target quantiles.
	for (WebRtc_Word32 i = 0; i < kNumQuants - kMaxOnlyLength; i++)
	{
	targetQuantUW16[i] = static_cast<WebRtc_UWord16>((WEBRTC_SPL_UMUL_16_16(
	_weightUW16[i], maxQuantUW8[i]) + WEBRTC_SPL_UMUL_16_16((1 << 15) -
	_weightUW16[i], minQuantUW8[i])) >> 8); // <Q7>
	}

	for (WebRtc_Word32 i = kNumQuants - kMaxOnlyLength; i < kNumQuants; i++)
	{
	targetQuantUW16[i] = ((WebRtc_UWord16)maxQuantUW8[i]) << 7;
	}

	// Compute the map from input to output pixels.
	WebRtc_UWord16 mapUW16; // <Q7>
	for (WebRtc_Word32 i = 1; i < kNumQuants; i++)
	{
	// As quant and targetQuant are limited to UWord8, we're safe to use Q7 here.
	tmpUW32 = static_cast<WebRtc_UWord32>(targetQuantUW16[i] -
	targetQuantUW16[i - 1]); // <Q7>
	tmpUW16 = static_cast<WebRtc_UWord16>(quantUW8[i] - quantUW8[i - 1]); // <Q0>

	if (tmpUW16 > 0)
	{
	incrementUW16 = static_cast<WebRtc_UWord16>(WebRtcSpl_DivU32U16(tmpUW32,
	tmpUW16)); // <Q7>
	}
	else
	{
	// The value is irrelevant; the loop below will only iterate once.
	incrementUW16 = 0;
	}

	mapUW16 = targetQuantUW16[i - 1];
	for (WebRtc_UWord32 j = quantUW8[i - 1]; j < (WebRtc_UWord32)(quantUW8[i] + 1); j++)
	{
	mapUW8[j] = (WebRtc_UWord8)((mapUW16 + (1 << 6)) >> 7); // Unsigned round. <Q0>
	mapUW16 += incrementUW16;
	}
	}

	// Map to the output frame.
	uint8_t* buffer = frame->Buffer();
	for (WebRtc_UWord32 i = 0; i < ySize; i++)
	{
	buffer[i] = mapUW8[buffer[i]];
	}

	// Frame was altered, so reset stats.
	VideoProcessingModule::ClearFrameStats(stats);

	return 0;
	}

	/**
	Performs some pre-detection operations. Must be called before
	DetectFlicker().

	\param[in] timestamp Timestamp of the current frame.
	\param[in] stats Statistics of the current frame.

	\return 0: Success\n
	2: Detection not possible due to flickering frequency too close to
	zero.\n
	-1: Error
	*/
	WebRtc_Word32
	VPMDeflickering::PreDetection(const WebRtc_UWord32 timestamp,
	const VideoProcessingModule::FrameStats& stats)
	{
	WebRtc_Word32 meanVal; // Mean value of frame (Q4)
	WebRtc_UWord32 frameRate = 0;
	WebRtc_Word32 meanBufferLength; // Temp variable

	meanVal = ((stats.sum << kMeanValueScaling) / stats.numPixels);
	/* Update mean value buffer.
	* This should be done even though we might end up in an unreliable detection.
	*/
	memmove(_meanBuffer + 1, _meanBuffer, (kMeanBufferLength - 1) * sizeof(WebRtc_Word32));
	_meanBuffer[0] = meanVal;

	/* Update timestamp buffer.
	* This should be done even though we might end up in an unreliable detection.
	*/
	memmove(_timestampBuffer + 1, _timestampBuffer, (kMeanBufferLength - 1) *
	sizeof(WebRtc_UWord32));
	_timestampBuffer[0] = timestamp;

	/* Compute current frame rate (Q4) */
	if (_timestampBuffer[kMeanBufferLength - 1] != 0)
	{
	frameRate = ((90000 << 4) * (kMeanBufferLength - 1));
	frameRate /= (_timestampBuffer[0] - _timestampBuffer[kMeanBufferLength - 1]);
	}else if (_timestampBuffer[1] != 0)
	{
	frameRate = (90000 << 4) / (_timestampBuffer[0] - _timestampBuffer[1]);
	}

	/* Determine required size of mean value buffer (_meanBufferLength) */
	if (frameRate == 0) {
	meanBufferLength = 1;
	}
	else {
	meanBufferLength = (kNumFlickerBeforeDetect * frameRate) / kMinFrequencyToDetect;
	}
	/* Sanity check of buffer length */
	if (meanBufferLength >= kMeanBufferLength)
	{
	/* Too long buffer. The flickering frequency is too close to zero, which
	* makes the estimation unreliable.
	*/
	_meanBufferLength = 0;
	return 2;
	}
	_meanBufferLength = meanBufferLength;

	if ((_timestampBuffer[_meanBufferLength - 1] != 0) && (_meanBufferLength != 1))
	{
	frameRate = ((90000 << 4) * (_meanBufferLength - 1));
	frameRate /= (_timestampBuffer[0] - _timestampBuffer[_meanBufferLength - 1]);
	}else if (_timestampBuffer[1] != 0)
	{
	frameRate = (90000 << 4) / (_timestampBuffer[0] - _timestampBuffer[1]);
	}
	_frameRate = frameRate;

	return 0;
	}

	/**
	This function detects flicker in the video stream. As a side effect the mean value
	buffer is updated with the new mean value.

	\return 0: No flickering detected\n
	1: Flickering detected\n
	2: Detection not possible due to unreliable frequency interval
	-1: Error
	*/
	WebRtc_Word32 VPMDeflickering::DetectFlicker()
	{
	/* Local variables */
	WebRtc_UWord32 i;
	WebRtc_Word32 freqEst; // (Q4) Frequency estimate to base detection upon
	WebRtc_Word32 retVal = -1;

	/* Sanity check for _meanBufferLength */
	if (_meanBufferLength < 2)
	{
	/* Not possible to estimate frequency */
	return(2);
	}
	/* Count zero crossings with a dead zone to be robust against noise.
	* If the noise std is 2 pixel this corresponds to about 95% confidence interval.
	*/
	WebRtc_Word32 deadzone = (kZeroCrossingDeadzone << kMeanValueScaling); // Q4
	WebRtc_Word32 meanOfBuffer = 0; // Mean value of mean value buffer
	WebRtc_Word32 numZeros = 0; // Number of zeros that cross the deadzone
	WebRtc_Word32 cntState = 0; // State variable for zero crossing regions
	WebRtc_Word32 cntStateOld = 0; // Previous state variable for zero crossing regions

	for (i = 0; i < _meanBufferLength; i++)
	{
	meanOfBuffer += _meanBuffer[i];
	}
	meanOfBuffer += (_meanBufferLength >> 1); // Rounding, not truncation
	meanOfBuffer /= _meanBufferLength;

	/* Count zero crossings */
	cntStateOld = (_meanBuffer[0] >= (meanOfBuffer + deadzone));
	cntStateOld -= (_meanBuffer[0] <= (meanOfBuffer - deadzone));
	for (i = 1; i < _meanBufferLength; i++)
	{
	cntState = (_meanBuffer[i] >= (meanOfBuffer + deadzone));
	cntState -= (_meanBuffer[i] <= (meanOfBuffer - deadzone));
	if (cntStateOld == 0)
	{
	cntStateOld = -cntState;
	}
	if (((cntState + cntStateOld) == 0) && (cntState != 0))
	{
	numZeros++;
	cntStateOld = cntState;
	}
	}
	/* END count zero crossings */

	/* Frequency estimation according to:
	* freqEst = numZeros * frameRate / 2 / _meanBufferLength;
	*
	* Resolution is set to Q4
	*/
	freqEst = ((numZeros * 90000) << 3);
	freqEst /= (_timestampBuffer[0] - _timestampBuffer[_meanBufferLength - 1]);

	/* Translate frequency estimate to regions close to 100 and 120 Hz */
	WebRtc_UWord8 freqState = 0; // Current translation state;
	// (0) Not in interval,
	// (1) Within valid interval,
	// (2) Out of range
	WebRtc_Word32 freqAlias = freqEst;
	if (freqEst > kMinFrequencyToDetect)
	{
	WebRtc_UWord8 aliasState = 1;
	while(freqState == 0)
	{
	/* Increase frequency */
	freqAlias += (aliasState * _frameRate);
	freqAlias += ((freqEst << 1) * (1 - (aliasState << 1)));
	/* Compute state */
	freqState = (abs(freqAlias - (100 << 4)) <= kFrequencyDeviation);
	freqState += (abs(freqAlias - (120 << 4)) <= kFrequencyDeviation);
	freqState += 2 * (freqAlias > ((120 << 4) + kFrequencyDeviation));
	/* Switch alias state */
	aliasState++;
	aliasState &= 0x01;
	}
	}
	/* Is frequency estimate within detection region? */
	if (freqState == 1)
	{
	retVal = 1;
	}else if (freqState == 0)
	{
	retVal = 2;
	}else
	{
	retVal = 0;
	}
	return retVal;
	}

	} //namespace