问具有BT.709矩阵的H.264编码视频是否包含任何伽马调整？

EN

static inline
int BT709_convertLinearRGBToYCbCr(
                            float Rn,
                            float Gn,
                            float Bn,
                            int *YPtr,
                            int *CbPtr,
                            int *CrPtr,
                            int applyGammaMap)
{
  // Gamma adjustment to non-linear value

  if (applyGammaMap) {
    Rn = BT709_linearNormToNonLinear(Rn);
    Gn = BT709_linearNormToNonLinear(Gn);
    Bn = BT709_linearNormToNonLinear(Bn);
  }

  // https://www.itu.int/dms_pubrec/itu-r/rec/bt/R-REC-BT.709-6-201506-I!!PDF-E.pdf

  float Ey = (Kr * Rn) + (Kg * Gn) + (Kb * Bn);
  float Eb = (Bn - Ey) / Eb_minus_Ey_Range;
  float Er = (Rn - Ey) / Er_minus_Ey_Range;

  // Quant Y to range [16, 235] (inclusive 219 values)
  // Quant Eb, Er to range [16, 240] (inclusive 224 values, centered at 128)

  float AdjEy = (Ey * (YMax-YMin)) + 16;
  float AdjEb = (Eb * (UVMax-UVMin)) + 128;
  float AdjEr = (Er * (UVMax-UVMin)) + 128;

  *YPtr = (int) round(AdjEy);
  *CbPtr = (int) round(AdjEb);
  *CrPtr = (int) round(AdjEr);

  return 0;
}

static inline
int BT709_convertYCbCrToLinearRGB(
                             int Y,
                             int Cb,
                             int Cr,
                             float *RPtr,
                             float *GPtr,
                             float *BPtr,
                             int applyGammaMap)
{
  // https://en.wikipedia.org/wiki/YCbCr#ITU-R_BT.709_conversion
  // http://www.niwa.nu/2013/05/understanding-yuv-values/

  // Normalize Y to range [0 255]
  //
  // Note that the matrix multiply will adjust
  // this byte normalized range to account for
  // the limited range [16 235]

  float Yn = (Y - 16) * (1.0f / 255.0f);

  // Normalize Cb and CR with zero at 128 and range [0 255]
  // Note that matrix will adjust to limited range [16 240]

  float Cbn = (Cb - 128) * (1.0f / 255.0f);
  float Crn = (Cr - 128) * (1.0f / 255.0f);

  const float YScale = 255.0f / (YMax-YMin);
  const float UVScale = 255.0f / (UVMax-UVMin);

  const
  float BT709Mat[] = {
    YScale,   0.000f,  (UVScale * Er_minus_Ey_Range),
    YScale, (-1.0f * UVScale * Eb_minus_Ey_Range * Kb_over_Kg),  (-1.0f * UVScale * Er_minus_Ey_Range * Kr_over_Kg),
    YScale, (UVScale * Eb_minus_Ey_Range),  0.000f,
  };

  // Matrix multiply operation
  //
  // rgb = BT709Mat * YCbCr

  // Convert input Y, Cb, Cr to normalized float values

  float Rn = (Yn * BT709Mat[0]) + (Cbn * BT709Mat[1]) + (Crn * BT709Mat[2]);
  float Gn = (Yn * BT709Mat[3]) + (Cbn * BT709Mat[4]) + (Crn * BT709Mat[5]);
  float Bn = (Yn * BT709Mat[6]) + (Cbn * BT709Mat[7]) + (Crn * BT709Mat[8]);

  // Saturate normalzied linear (R G B) to range [0.0, 1.0]

  Rn = saturatef(Rn);
  Gn = saturatef(Gn);
  Bn = saturatef(Bn);

  // Gamma adjustment for RGB components after matrix transform

  if (applyGammaMap) {
    Rn = BT709_nonLinearNormToLinear(Rn);
    Gn = BT709_nonLinearNormToLinear(Gn);
    Bn = BT709_nonLinearNormToLinear(Bn);
  }

  *RPtr = Rn;
  *GPtr = Gn;
  *BPtr = Bn;

  return 0;
}

#define APPLE_GAMMA_196 (1.960938f)

static inline
float Apple196_nonLinearNormToLinear(float normV) {
  const float xIntercept = 0.05583828f;

  if (normV < xIntercept) {
    normV *= (1.0f / 16.0f);
  } else {
    const float gamma = APPLE_GAMMA_196;
    normV = pow(normV, gamma);
  }

  return normV;
}

static inline
float Apple196_linearNormToNonLinear(float normV) {
  const float yIntercept = 0.00349f;

  if (normV < yIntercept) {
    normV *= 16.0f;
  } else {
    const float gamma = 1.0f / APPLE_GAMMA_196;
    normV = pow(normV, gamma);
  }

  return normV;
}