コード例 #1
0
ファイル: Mandelbrot.cs プロジェクト: fire-eggs/Mandelbrot-CS
        /// <summary>
        /// </summary>
        /// <param name="threads"></param>
        /// <param name="start"></param>
        /// <param name="end"></param>
        /// <param name="region"></param>
        /// <param name="maxIterations"></param>
        /// <param name="palette"></param>
        /// <param name="gradient"></param>
        /// <param name="bailout"></param>
        /// <returns></returns>
        public static byte[] DrawMandelbrot(Size threads, Size start, Size end, Region region, int maxIterations, RgbValue[] palette,
                                            Gradient gradient, double bailout)
        {
            region = region.NormalizeRegion();
            //var cartesianRegion = new Region(
            //    min: new Complex(region.Min.Real, -region.Min.Imaginary),
            //    max: new Complex(region.Max.Real, -region.Max.Imaginary));
            int globalStartX = start.Width, globalEndX = end.Width;
            int globalStartY = start.Height, globalEndY = end.Height;

            int globalWidth  = globalEndX - globalStartX,
                globalHeight = globalEndY - globalStartY;


            double globalRealStart      = region.Min.Real,
                   globalImaginaryStart = region.Min.Imaginary;

            var image = new byte[globalHeight * globalWidth * BitDepthFor24BppRgb];

            int xThreads = threads.Width, yThreads = threads.Height;

            var globalScale = MathUtilities.Scale(
                globalWidth, globalHeight,
                region.Min.Real, region.Max.Real,
                region.Min.Imaginary, region.Max.Imaginary);

            #region General Configuration For All Threads
            if (maxIterations < 1)
            {
                throw new ArgumentException($"Max iterations must be >= 1, is {maxIterations}");
            }
            var    colors = palette.Length;
            var    root = gradient.Exponent;
            double indexScale = gradient.IndexScale, indexWeight = gradient.Weight;
            var    rootMinIterations         = gradient.RootIndex ? Math.Pow(gradient.MinIterations, root) : 0.0;
            var    logBase                   = gradient.LogIndex ? Math.Log((double)maxIterations / gradient.MinIterations) : 0.0;
            var    logMinIterations          = gradient.LogIndex ? Math.Log(gradient.MinIterations, logBase) : 0.0;
            var    logPaletteBailout         = Math.Log(gradient.PaletteBailout);
            var    halfOverLogPaletteBailout = 0.5 / logPaletteBailout;
            var    bailoutSquared            = bailout * bailout;
            var    useSqrt                   = gradient.RootIndex && Math.Abs(gradient.Root - 2) < Epsilon;
            var    maxIterationColor         = gradient.MaxIterationColor;
            #endregion

// TODO consider Parallel.For instead of threads

            var tasks = new Thread[xThreads * yThreads];
            for (var iy = 0; iy < yThreads; ++iy)
            {
                for (var ix = 0; ix < xThreads; ++ix)
                {
                    var localRegion = MathUtilities.StartEndCoordinates(
                        globalStartX, globalEndX, globalStartY, globalEndY,
                        xThreads, ix, yThreads, iy);

                    int localStartX = localRegion.Item1,
                        localStartY = localRegion.Item3,
                        localEndX   = localRegion.Item2,
                        localEndY   = localRegion.Item4;

                    int localWidth  = localEndX - localStartX,
                        localHeight = localEndY - localStartY;

                    var localStart =
                        MathUtilities.PixelToArgandCoordinates(
                            localStartX, localStartY,
                            globalScale.Real, globalScale.Imaginary,
                            globalRealStart, globalImaginaryStart);


                    var taskIndex = iy * xThreads + ix;
                    tasks[taskIndex] =
                        new Thread(() =>
                                   DrawMandelbrotDC(
                                       localStartX, localStartY,
                                       localWidth, localHeight,
                                       localStart.Real, localStart.Imaginary, maxIterations,
                                       globalScale.Real, globalScale.Imaginary, globalWidth,
                                       palette, gradient, image,
                                       colors, bailoutSquared, halfOverLogPaletteBailout,
                                       logBase, logMinIterations, root, rootMinIterations,
                                       indexScale, indexWeight, useSqrt, maxIterationColor));
                    tasks[taskIndex].Start();
                }
            }
            // Wait for completion
            foreach (var task in tasks)
            {
                task.Join();
            }

            return(image);
        }
コード例 #2
0
ファイル: Mandelbrot.cs プロジェクト: fire-eggs/Mandelbrot-CS
 /// <summary>
 /// The following code was decompiled by JetBrains dotTrace.
 /// I have subsequently made a couple of micro optimizations,
 /// but it otherwise is equivalent to the DrawMandelbrot code
 /// above.
 /// </summary>
 /// <param name="startX"></param>
 /// <param name="startY"></param>
 /// <param name="width"></param>
 /// <param name="height"></param>
 /// <param name="realStart"></param>
 /// <param name="imaginaryStart"></param>
 /// <param name="maxIterations"></param>
 /// <param name="realScale"></param>
 /// <param name="imaginaryScale"></param>
 /// <param name="scan"></param>
 /// <param name="palette"></param>
 /// <param name="gradient"></param>
 /// <param name="image"></param>
 /// <param name="colors"></param>
 /// <param name="bailoutSquared"></param>
 /// <param name="halfOverLogBailout"></param>
 /// <param name="logBase"></param>
 /// <param name="logMinIterations"></param>
 /// <param name="root"></param>
 /// <param name="rootMinIterations"></param>
 /// <param name="indexScale"></param>
 /// <param name="indexWeight"></param>
 /// <param name="useSqrt"></param>
 /// <param name="maxIterationColor"></param>
 private static void DrawMandelbrotDC(
     int startX,
     int startY,
     int width,
     int height,
     double realStart,
     double imaginaryStart,
     int maxIterations,
     double realScale,
     double imaginaryScale,
     int scan,
     RgbValue[] palette,
     Gradient gradient,
     byte[] image,
     int colors,
     double bailoutSquared,
     double halfOverLogBailout,
     double logBase,
     double logMinIterations,
     double root,
     double rootMinIterations,
     double indexScale,
     double indexWeight,
     bool useSqrt,
     Color maxIterationColor)
 {
     for (int index1 = 0; index1 < height; ++index1)
     {
         for (int index2 = 0; index2 < width; ++index2)
         {
             double num1 = 0.0;
             double num2 = 0.0;
             double num3 = 0.0;
             double num4 = 0.0;
             double d    = 0.0;
             double num5 = (double)index2 * realScale + realStart;
             double num6 = (double)index1 * imaginaryScale + imaginaryStart;
             int    num7;
             double num1num1 = 0.0;
             double num3num3 = 0.0;
             for (num7 = 0; d < bailoutSquared && num7 < maxIterations; ++num7)
             {
                 double num8  = num1num1 - num3num3 + num5;
                 double num9  = 2.0 * num1 * num3 + num6;
                 double num10 = num8 - num1;
                 double num11 = num9 - num3;
                 if (num10 * num10 < 1E-20 && num11 * num11 < 1E-20)
                 {
                     num7 = maxIterations;
                     break;
                 }
                 double num12 = num8 - num2;
                 double num13 = num9 - num4;
                 if (num12 * num12 < 1E-20 && num13 * num13 < 1E-20)
                 {
                     num7 = maxIterations;
                     break;
                 }
                 num2     = num1;
                 num4     = num3;
                 num1     = num8;
                 num3     = num9;
                 num1num1 = num1 * num1;
                 num3num3 = num3 * num3;
                 d        = num1num1 + num3num3; // save num1*num1, num3*num3, used above
             }
             double num14 = Math.Log(Math.Log(d) * halfOverLogBailout) * Mandelbrot.OneOverLog2;
             double num15 = indexScale * ((double)(num7 + 1) - indexWeight * num14);
             if (useSqrt)
             {
                 num15 = Math.Sqrt(num15) - rootMinIterations;
             }
             else if (gradient.RootIndex)
             {
                 num15 = Math.Pow(num15, root) - rootMinIterations;
             }
             if (gradient.LogIndex)
             {
                 num15 = Math.Log(num15, logBase) - logMinIterations;
             }
             double index3 = MathUtilities.NormalizeIndex(num15, colors);
             int    index4 = MathUtilities.PreparePaletteIndex(index3, colors, gradient);
             byte   num16;
             byte   num17;
             byte   num18;
             if (num7 >= maxIterations)
             {
                 num16 = maxIterationColor.R;
                 num17 = maxIterationColor.G;
                 num18 = maxIterationColor.B;
             }
             else
             {
                 RgbValue rgbValue = RgbValue.LerpColors(palette[index4], palette[(index4 + 1) % colors], index3 - (double)(long)index3);
                 num16 = (byte)rgbValue.red;
                 num17 = (byte)rgbValue.green;
                 num18 = (byte)rgbValue.blue;
             }
             int index5 = 3 * ((startY + index1) * scan + (startX + index2));
             image[index5]     = num18;
             image[index5 + 1] = num17;
             image[index5 + 2] = num16;
         }
     }
 }
コード例 #3
0
ファイル: Mandelbrot.cs プロジェクト: fire-eggs/Mandelbrot-CS
 public static Image MakeImage(Region region, RgbValue[] palette, Gradient gradient)
 {
     return(MakeImage(region, palette, gradient, HIGH, WIDE));
 }
コード例 #4
0
ファイル: Mandelbrot.cs プロジェクト: fire-eggs/Mandelbrot-CS
 /// <summary>
 /// </summary>
 /// <param name="threads"></param>
 /// <param name="size"></param>
 /// <param name="region"></param>
 /// <param name="maxIteration"></param>
 /// <param name="palette"></param>
 /// <param name="gradient"></param>
 /// <param name="bailout"></param>
 /// <returns></returns>
 public static byte[] DrawMandelbrot(Size threads, Size size, Region region, int maxIteration, RgbValue[] palette,
                                     Gradient gradient, double bailout)
 => DrawMandelbrot(threads, new Size(0, 0), size, region, maxIteration, palette, gradient, bailout);
コード例 #5
0
ファイル: Mandelbrot.cs プロジェクト: fire-eggs/Mandelbrot-CS
        /// <summary>
        /// </summary>
        /// <param name="startX"></param>
        /// <param name="startY"></param>
        /// <param name="width"></param>
        /// <param name="height"></param>
        /// <param name="realStart"></param>
        /// <param name="imaginaryStart"></param>
        /// <param name="maxIterations"></param>
        /// <param name="realScale"></param>
        /// <param name="imaginaryScale"></param>
        /// <param name="scan"></param>
        /// <param name="palette"></param>
        /// <param name="gradient"></param>
        /// <param name="image"></param>
        /// <param name="colors"></param>
        /// <param name="bailoutSquared"></param>
        /// <param name="halfOverLogBailout"></param>
        /// <param name="logBase"></param>
        /// <param name="logMinIterations"></param>
        /// <param name="root"></param>
        /// <param name="rootMinIterations"></param>
        /// <param name="indexScale"></param>
        /// <param name="indexWeight"></param>
        /// <param name="useSqrt"></param>
        /// <param name="maxIterationColor"></param>
        private static void DrawMandelbrot(
            int startX, int startY,
            int width, int height,
            double realStart, double imaginaryStart,
            int maxIterations,
            double realScale, double imaginaryScale,
            int scan, RgbValue[] palette, Gradient gradient, byte[] image, int colors,
            double bailoutSquared, double halfOverLogBailout,
            double logBase, double logMinIterations,
            double root, double rootMinIterations,
            double indexScale, double indexWeight,
            bool useSqrt, Color maxIterationColor)
        {
            for (var py = 0; py < height; ++py)
            {
                for (var px = 0; px < width; ++px)
                {
                    double x = 0.0, xp = 0.0;    // x;
                    double y = 0.0, yp = 0.0;    // y;
                    var    modulusSquared = 0.0; // x * x + y * y;
                    var    x0             = px * realScale + realStart;
                    var    y0             = py * imaginaryScale + imaginaryStart;
                    var    iterations     = 0;
                    while (modulusSquared < bailoutSquared && iterations < maxIterations)
                    {
                        var    xtemp = x * x - y * y + x0;
                        var    ytemp = 2 * x * y + y0;
                        double dx    = xtemp - x,
                               dy    = ytemp - y,
                               dxp   = xtemp - xp,
                               dyp   = ytemp - yp;
                        if ((dx * dx < Epsilon && dy * dy < Epsilon) ||
                            (dxp * dxp < Epsilon && dyp * dyp < Epsilon))
                        {
                            iterations = maxIterations;
                            break;
                        }
                        xp             = x;
                        yp             = y;
                        x              = xtemp;
                        y              = ytemp;
                        modulusSquared = x * x + y * y;
                        ++iterations;
                    }
                    var smoothed = Math.Log(Math.Log(modulusSquared) * halfOverLogBailout) * OneOverLog2;
                    var index    = indexScale * (iterations + 1 - indexWeight * smoothed);
                    if (useSqrt)
                    {
                        index = Math.Sqrt(index) - rootMinIterations;
                    }
                    else if (gradient.RootIndex)
                    {
                        index = Math.Pow(index, root) - rootMinIterations;
                    }
                    if (gradient.LogIndex)
                    {
                        index = Math.Log(index, logBase) - logMinIterations;
                    }
                    index = MathUtilities.NormalizeIndex(index, colors);
                    var actualIndex = MathUtilities.PreparePaletteIndex(index, colors, gradient);

                    byte red, green, blue;
                    if (iterations >= maxIterations)
                    {
                        red   = maxIterationColor.R;
                        green = maxIterationColor.G;
                        blue  = maxIterationColor.B;
                    }
                    else
                    {
                        var outval = RgbValue.LerpColors(
                            palette[actualIndex],
                            palette[(actualIndex + 1) % colors],
                            index - (long)index);
                        //Palette.Lerp(
                        //    palette[actualIndex],
                        //    palette[(actualIndex + 1) % colors],
                        //    index - (long)index,
                        //    out red, out green, out blue);
                        red   = (byte)outval.red;
                        green = (byte)outval.green;
                        blue  = (byte)outval.blue;
                    }
                    var offset = BitDepthFor24BppRgb * ((startY + py) * scan + (startX + px));
                    image[offset]     = blue;
                    image[offset + 1] = green;
                    image[offset + 2] = red;
                }
            }
        }