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;
}
示例#3
0
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;
}