public static Image BufferToImage(byte[] buffer, double senseHatGamma)
{
var image = new Image(8, 8);
byte[] senseHatInverseGammaTable = GammaCalc.Get5To8BitInvertedGamma(senseHatGamma).ToArray();
int bufferIndex = 0;
for (int y = 0; y < 8; y++)
{
for (int x = 0; x < 8; x++)
{
var r = senseHatInverseGammaTable[buffer[bufferIndex]];
var g = senseHatInverseGammaTable[buffer[bufferIndex + 8]];
var b = senseHatInverseGammaTable[buffer[bufferIndex + 16]];
bufferIndex++;
image[x, y] = Color.FromArgb(255, r, g, b);
}
bufferIndex += 16;
}
return(image);
}
public static byte[] ImageToBuffer(Image image, double senseHatGamma)
{
byte[] buffer = new byte[8 * 8 * 3]; // (3 for R,G,B)
byte[] senseHatGammaTable = GammaCalc.Get5BitGamma(senseHatGamma).ToArray();
int index = 0;
for (int y = 0; y < 8; y++)
{
for (int x = 0; x < 8; x++)
{
Color color = image[x, y];
buffer[index] = senseHatGammaTable[color.R >> 3];
buffer[index + 8] = senseHatGammaTable[color.G >> 3];
buffer[index + 16] = senseHatGammaTable[color.B >> 3];
index++;
}
index += 16; // Step to the next row.
}
return(buffer);
}
public static double Best5BitGammaMatch(byte[] wantedGammaTable, double start, double stop, double step)
{
var gammaValue = start;
double bestMatchGammaValue = 0;
int bestMatchGammaFailCount = int.MaxValue;
do
{
byte[] myGamma = GammaCalc.Get5BitGamma(gammaValue).ToArray();
int failCount = 0;
for (int i = 0; i < myGamma.Length; i++)
{
if (myGamma[i] != wantedGammaTable[i])
{
failCount++;
}
}
if (failCount < bestMatchGammaFailCount)
{
bestMatchGammaValue = gammaValue;
bestMatchGammaFailCount = failCount;
if (failCount == 0)
{
break;
}
}
gammaValue += step;
}while (gammaValue < stop);
return(bestMatchGammaValue);
}
