// 画像ファイル → ImageLet
public static Boolean MakeImageLet(Image imgTn, ImageLet imgLet)
{
// 定数計算(ImageLetの評価値は2x2分割決め打ちで取ってくるので、左上1/4を計算)
const int iDh = DEF.LET_D / 2;
int iXs = (DEF.TH_W - DEF.LET_D) / 2;
int iYs = (DEF.TH_H - DEF.LET_D) / 2;
int iXe = DEF.TH_W / 2;
int iYe = DEF.TH_H / 2;
// imgLetの生成
imgLet.bmData = new UMImage(DEF.LET_D, DEF.LET_D);
// ビットマップに変換
Bitmap bmTn = new Bitmap(imgTn);
double[] aR = new double[DEF.SQR(DEF.FIT_DELTA)];
double[] aG = new double[DEF.SQR(DEF.FIT_DELTA)];
double[] aB = new double[DEF.SQR(DEF.FIT_DELTA)];
for (int y = iYs; y < iYe; y++)
{
int yy = y - iYs;
for (int x = iXs; x < iXe; x++)
{
int xx = x - iXs;
// 画素値コピー
Color[] aCol = new Color[] {
bmTn.GetPixel(x, y),
bmTn.GetPixel(x + iDh, y),
bmTn.GetPixel(x, y + iDh),
bmTn.GetPixel(x + iDh, y + iDh)
};
imgLet.bmData.SetPixel(xx, yy, aCol[0]);
imgLet.bmData.SetPixel(xx + iDh, yy, aCol[1]);
imgLet.bmData.SetPixel(xx, yy + iDh, aCol[2]);
imgLet.bmData.SetPixel(xx + iDh, yy + iDh, aCol[3]);
// 平均用の積算
for (int a = 0; a < DEF.SQR(DEF.FIT_DELTA); a++)
{
aR[a] += aCol[a].R;
aG[a] += aCol[a].G;
aB[a] += aCol[a].B;
}
}
}
// 平均値算出
for (int a = 0; a < DEF.SQR(DEF.FIT_DELTA); a++)
{
imgLet.adAveR[a] += aR[a] / DEF.SQR(iDh);
imgLet.adAveG[a] += aG[a] / DEF.SQR(iDh);
imgLet.adAveB[a] += aB[a] / DEF.SQR(iDh);
}
return(true);
}
public static int SelectImageLet(Color[] aCol, List <ImageLet> aImgLet, out double dDelta)
{
int iRet = 0;
int iSeekMax = Math.Min(aImgLet.Count, DEF.SEEK_MAX);
double dstMin = 0x0FFFFFFF;
Object thisLock = new Object();
//for (int i = 0; i < iSeekMax; i++)
Parallel.For(0, iSeekMax, i =>
{
ImageLet imgLet = aImgLet[i];
// 3色, 4箇所の二乗誤差を積算
double dist = 0;
for (int a = 0; a < DEF.SQR(DEF.FIT_DELTA); a++)
{
// 2点間距離(大小関係だけに着目するのでroot処理は不要)
dist += DEF.SQR(aCol[a].R - imgLet.adAveR[a]) + DEF.SQR(aCol[a].G - imgLet.adAveG[a]) + DEF.SQR(aCol[a].B - imgLet.adAveB[a]);
}
// 最近距離の更新
if (dist < dstMin)
{
// 排他処理
lock (thisLock)
{
iRet = i;
dstMin = dist;
}
}
});
dDelta = dstMin;
return(iRet);
}
// 実処理
public static async Task <ECode> Do(ImgPath path, CoreResult coreResult, IProgress <int> spProg1, IProgress <int> spProg2)
{
Func <ECode> Job = () =>
{
// ターゲット画像の読み込み
Image imgTg = null;
try
{
imgTg = Image.FromFile(path.STgtImg);
}
catch (Exception)
{
return(ECode.Er_ReadTgeImg);
}
Bitmap bmTg = new Bitmap(imgTg);
// LetImgの配列を構築
List <ImageLet> aImgLet = MakeImageLets(path.AsSrcImg, spProg1);
if (aImgLet.Count < DEF.SQR(DEF.LET_IMG_MIN_MIN))
{
return(ECode.Er_LackSrcImg);
}
// 出力先の構築(取り敢えずオリジナル画像をリサイズして突っ込む)
int iCelW, iCelH;
CalcCelSize(imgTg, aImgLet, out iCelW, out iCelH);
var bmTmp = new Bitmap(bmTg, DEF.LET_D * iCelW, DEF.LET_D * iCelH);
var imgOut = new UMImage(bmTmp);
bmTmp.Dispose();
// ターゲット画像Celの配列作成
List <ImageCel> aImgCel = MakeImageCels(imgTg, iCelW, iCelH);
// 残差計算の処理
double dDeltaSum = 0;
double dDeltaMax = 0;
// モザイク処理
int iProg = 0;
foreach (ImageCel imgCel in aImgCel)
{
int cy = (int)imgCel.pt.Y;
int cx = (int)imgCel.pt.X;
// 最も近いimgLetを選択
double dDelta = 0;
int iSel = SelectImageLet(imgCel.aCol, aImgLet, out dDelta);
ImageLet imgLet = aImgLet[iSel];
dDeltaSum += dDelta;
dDeltaMax = Math.Max(dDelta, dDeltaMax);
//for (int dy = 0; dy < DEF.LET_D; dy++)
Parallel.For(0, DEF.LET_D, dy =>
{
int y = cy * DEF.LET_D + dy;
for (int dx = 0; dx < DEF.LET_D; dx++)
{
int x = cx * DEF.LET_D + dx;
// 値の取得()
imgOut.SetPixel(x, y, CommonUtils.ColorBlend(imgLet.bmData.GetPixel(dx, dy), 1, imgOut.GetPixel(x, y), 0));
}
});
// 一度使ったimgLetはもう使わない
aImgLet.RemoveAt(iSel);
// どこにも属さないimgLetが溜まらないように、適度にシャッフル
if (((iProg + 1) % (DEF.SEEK_MAX / 2)) == 0)
{
aImgCel = new List <ImageCel>(aImgCel.OrderBy(i => Guid.NewGuid()).ToArray());
}
// プログレス処理
spProg2.Report((++iProg) * DEF.PERCENT_MAX / (iCelW * iCelH));
}
coreResult.dDeltaAve = dDeltaSum / aImgCel.Count;
coreResult.dDeltaMax = dDeltaMax;
// ファイルを出力して開く
using (Bitmap bmOut = imgOut.GetBitmap())
{
bmOut.Save(path.SDstImg, System.Drawing.Imaging.ImageFormat.Jpeg);
System.Diagnostics.Process.Start(path.SDstImg);
}
// お片付け
imgTg.Dispose();
bmTg.Dispose();
return(ECode.Success);
};
return(await Task.Run(Job));
}
public ImageLet()
{
adAveR = new double[DEF.SQR(DEF.FIT_DELTA)];
adAveG = new double[DEF.SQR(DEF.FIT_DELTA)];
adAveB = new double[DEF.SQR(DEF.FIT_DELTA)];
}
public Color[] aCol; // FIT_DELTA*FIT_DELTA個
public ImageCel()
{
aCol = new Color[DEF.SQR(DEF.FIT_DELTA)];
}