static int diff_percent_rgb(int i, int j)
{
int diff_r = diff_abs(data[3 * i], data[3 * j]);
int diff_g = diff_abs(data[3 * i + 1], data[3 * j + 1]);
int diff_b = diff_abs(data[3 * i + 2], data[3 * j + 2]);
int diff = (diff_r + diff_g + diff_b) / 3;
int percent_diff = (100 * diff) / (NUM_INTS_PER_WORD * 256);
// printf("cmp(%d,%d) = %d = %d%%\n", i, j, diff, percent_diff);
return percent_diff;
}
static int diff_percent_gray(int i, int j)
{
int diff = diff_abs(data[i], data[j]);
int percent_diff = (100 * diff) / (NUM_INTS_PER_WORD * 256);
// printf("cmp(%d,%d) = %d = %d%%\n", i, j, diff, percent_diff);
return percent_diff;
}
prediction_info_t CPrediction::predict(float * pSrc, CPoint p, CSize srcSize)
{
prediction_info_t info;
info.dy = 0;
info.dx = 0;
CSize s = (*m_last)[p.Z].getSize();
int scale = getInterpolationScale();
p.Y *= scale;
p.X *= scale;
if(m_max)
{
struct
{
CPoint p;
float d;
} min;
min.p = p;
min.d = std::numeric_limits<float>::max();
CPoint dp;
for(int dy = -m_max ; dy <= m_max ; dy++)
{
for(int dx=-m_max ; dx <= m_max ; dx++)
{
dp.Y = p.Y + dy*16;
dp.X = p.X + dx*16;
if(dp.X >= 0 && dp.Y >= 0 && (dp.Y+16) < s.Height && (dp.X+16) < s.Width)
{
float d;
#if DEFAULT_PREDICTION_METHOD == PREDICTION_METHOD_MSE
d = diff_mse(pSrc, srcSize, &(*m_last)[p.Z][dp.Y][dp.X], s);
#elif DEFAULT_PREDICTION_METHOD == PREDICTION_METHOD_ABS
d = diff_abs(pSrc, srcSize, &(*m_last)[p.Z][dp.Y][dp.X], s);
#else
#error Unknown prediction method
#endif
if(d < min.d)
{
min.d = d;
min.p = dp;
}
}
}
}
info.dy = (min.p.Y-p.Y)/16;
info.dx = (min.p.X-p.X)/16;
}
return info;
}