/// <inheritdoc />
protected override void OnFrameApply(ImageFrame <TPixel> source)
{
var interest = Rectangle.Intersect(this.SourceRectangle, source.Bounds());
// We need a clean copy for each pass to start from
using ImageFrame <TPixel> cleanCopy = source.Clone();
using (var processor = new ConvolutionProcessor <TPixel>(this.Configuration, in this.kernels[0], true, this.Source, interest))
{
processor.Apply(source);
}
if (this.kernels.Length == 1)
{
return;
}
// Additional runs
for (int i = 1; i < this.kernels.Length; i++)
{
using ImageFrame <TPixel> pass = cleanCopy.Clone();
using (var processor = new ConvolutionProcessor <TPixel>(this.Configuration, in this.kernels[i], true, this.Source, interest))
{
processor.Apply(pass);
}
var operation = new RowOperation(source.PixelBuffer, pass.PixelBuffer, interest);
ParallelRowIterator.IterateRows(
this.Configuration,
interest,
in operation);
}
}
/// <inheritdoc/>
protected override void OnFrameApply(ImageFrame <TPixel> source)
{
// Preliminary gamma highlight pass
var gammaOperation = new ApplyGammaExposureRowOperation(this.SourceRectangle, source.PixelBuffer, this.Configuration, this.gamma);
ParallelRowIterator.IterateRows <ApplyGammaExposureRowOperation, Vector4>(
this.Configuration,
this.SourceRectangle,
in gammaOperation);
// Create a 0-filled buffer to use to store the result of the component convolutions
using Buffer2D <Vector4> processingBuffer = this.Configuration.MemoryAllocator.Allocate2D <Vector4>(source.Size(), AllocationOptions.Clean);
// Perform the 1D convolutions on all the kernel components and accumulate the results
this.OnFrameApplyCore(source, this.SourceRectangle, this.Configuration, processingBuffer);
float inverseGamma = 1 / this.gamma;
// Apply the inverse gamma exposure pass, and write the final pixel data
var operation = new ApplyInverseGammaExposureRowOperation(this.SourceRectangle, source.PixelBuffer, processingBuffer, this.Configuration, inverseGamma);
ParallelRowIterator.IterateRows(
this.Configuration,
this.SourceRectangle,
in operation);
}
/// <inheritdoc/>
protected override void OnFrameApply(ImageFrame <TPixel> source)
{
int sourceWidth = source.Width;
int sourceHeight = source.Height;
int tileWidth = (int)MathF.Ceiling(sourceWidth / (float)this.Tiles);
int tileHeight = (int)MathF.Ceiling(sourceHeight / (float)this.Tiles);
int tileCount = this.Tiles;
int halfTileWidth = tileWidth / 2;
int halfTileHeight = tileHeight / 2;
int luminanceLevels = this.LuminanceLevels;
// The image is split up into tiles. For each tile the cumulative distribution function will be calculated.
using (var cdfData = new CdfTileData(this.Configuration, sourceWidth, sourceHeight, this.Tiles, this.Tiles, tileWidth, tileHeight, luminanceLevels))
{
cdfData.CalculateLookupTables(source, this);
var tileYStartPositions = new List <(int y, int cdfY)>();
int cdfY = 0;
int yStart = halfTileHeight;
for (int tile = 0; tile < tileCount - 1; tile++)
{
tileYStartPositions.Add((yStart, cdfY));
cdfY++;
yStart += tileHeight;
}
var operation = new RowIntervalOperation(cdfData, tileYStartPositions, tileWidth, tileHeight, tileCount, halfTileWidth, luminanceLevels, source);
ParallelRowIterator.IterateRows(
this.Configuration,
new Rectangle(0, 0, sourceWidth, tileYStartPositions.Count),
in operation);
ref TPixel pixelsBase = ref source.GetPixelReference(0, 0);
// Fix left column
ProcessBorderColumn(ref pixelsBase, cdfData, 0, sourceWidth, sourceHeight, this.Tiles, tileHeight, xStart: 0, xEnd: halfTileWidth, luminanceLevels);
// Fix right column
int rightBorderStartX = ((this.Tiles - 1) * tileWidth) + halfTileWidth;
ProcessBorderColumn(ref pixelsBase, cdfData, this.Tiles - 1, sourceWidth, sourceHeight, this.Tiles, tileHeight, xStart: rightBorderStartX, xEnd: sourceWidth, luminanceLevels);
// Fix top row
ProcessBorderRow(ref pixelsBase, cdfData, 0, sourceWidth, this.Tiles, tileWidth, yStart: 0, yEnd: halfTileHeight, luminanceLevels);
// Fix bottom row
int bottomBorderStartY = ((this.Tiles - 1) * tileHeight) + halfTileHeight;
ProcessBorderRow(ref pixelsBase, cdfData, this.Tiles - 1, sourceWidth, this.Tiles, tileWidth, yStart: bottomBorderStartY, yEnd: sourceHeight, luminanceLevels);
// Left top corner
ProcessCornerTile(ref pixelsBase, cdfData, sourceWidth, 0, 0, xStart: 0, xEnd: halfTileWidth, yStart: 0, yEnd: halfTileHeight, luminanceLevels);
// Left bottom corner
ProcessCornerTile(ref pixelsBase, cdfData, sourceWidth, 0, this.Tiles - 1, xStart: 0, xEnd: halfTileWidth, yStart: bottomBorderStartY, yEnd: sourceHeight, luminanceLevels);
// Right top corner
ProcessCornerTile(ref pixelsBase, cdfData, sourceWidth, this.Tiles - 1, 0, xStart: rightBorderStartX, xEnd: sourceWidth, yStart: 0, yEnd: halfTileHeight, luminanceLevels);
// Right bottom corner
ProcessCornerTile(ref pixelsBase, cdfData, sourceWidth, this.Tiles - 1, this.Tiles - 1, xStart: rightBorderStartX, xEnd: sourceWidth, yStart: bottomBorderStartY, yEnd: sourceHeight, luminanceLevels);
}
protected override void OnFrameApply(ImageFrame <TPixel> source)
{
var interest = Rectangle.Intersect(this.SourceRectangle, source.Bounds());
var operation = new OpaqueRowOperation(this.Configuration, source.PixelBuffer, interest);
ParallelRowIterator.IterateRows <OpaqueRowOperation, Vector4>(this.Configuration, interest, in operation);
}
public static void ApplyHaze(this Image <Rgba32> image, Color tint, float amount, float opacity)
{
var mask = new Image <Rgba32>(image.Width, image.Height);
var operation = new HazeRowOperation(mask, tint, amount, opacity);
ParallelRowIterator.IterateRows(Configuration.Default, mask.Bounds(), in operation);
image.Mutate(context => context.DrawImage(mask, PixelColorBlendingMode.Screen, 1f));
}
/// <summary>
/// Swaps the image at the Y-axis, which goes vertically through the middle at half of the width of the image.
/// </summary>
/// <param name="source">The source image to apply the process to.</param>
/// <param name="configuration">The configuration.</param>
private void FlipY(ImageFrame <TPixel> source, Configuration configuration)
{
var operation = new RowOperation(source);
ParallelRowIterator.IterateRows(
configuration,
source.Bounds(),
in operation);
}
/// <summary>
/// Applies a tint to an image.
/// </summary>
public static void Tint(this Image <Rgba32> image, Color colour)
{
var tint = colour.ToPixel <Rgba32>();
var lightness = 2 * (1 - (Converter.ToHsl(tint).L * 2 - 1));
var operation = new TintRowOperation(image, tint, lightness);
ParallelRowIterator.IterateRows(Configuration.Default, image.Bounds(), in operation);
}
public static void ApplyGaussianNoise(this Image <Rgba32> image)
{
var noiseImage = image.Clone();
var operation = new GaussianNoiseRowOperation(noiseImage);
ParallelRowIterator.IterateRows(Configuration.Default, noiseImage.Bounds(), in operation);
image.Mutate(c => c.DrawImage(noiseImage, PixelColorBlendingMode.Multiply, 0.1f));
}
/// <inheritdoc/>
protected override void OnFrameApply(ImageFrame <TPixel> source)
{
var interest = Rectangle.Intersect(this.SourceRectangle, source.Bounds());
var operation = new RowIntervalOperation(interest.X, source, this.definition.Matrix, this.Configuration);
ParallelRowIterator.IterateRows <RowIntervalOperation, Vector4>(
this.Configuration,
interest,
in operation);
}
/// <summary>
/// Reprojects an image in an equirectangular projection, such as an underlay or composited underlay with IR imagery,
/// into a geostationary projection.
/// </summary>
public static Image <Rgba32> ToGeostationaryProjection(this Image <Rgba32> source, double satelliteLongitude, double satelliteHeight, RenderOptions options)
{
// Projected image
var target = new Image <Rgba32>(options.ImageSize, options.ImageSize);
// Reproject image to match the given satellite
var operation = new GeostationaryProjectionRowOperation(source, target, satelliteLongitude, satelliteHeight, options);
ParallelRowIterator.IterateRows(Configuration.Default, target.Bounds(), in operation);
return(target);
}
private Image <Rgba32> Reproject(Registration registration)
{
var definition = registration.Definition;
// Preserve 2:1 equirectangular aspect ratio
var maxWidth = _options.ImageSize * 2;
var maxHeight = _options.ImageSize;
// Determine pixel ranges of projected image so we can limit our processing to longitudes visible to satellite
// Unwrap the longitude range to simplify maths
var longitudeRange = new Range(
definition.LongitudeRange.Start,
definition.LongitudeRange.End).UnwrapLongitude();
var latitudeRange = new Range(definition.LatitudeRange.Start, definition.LatitudeRange.End);
_logger.LogInformation("{definition:l0} latitude range {startRange:F2} to {endRange:F2} degrees",
definition.DisplayName,
Angle.FromRadians(latitudeRange.Start).Degrees,
Angle.FromRadians(latitudeRange.End).Degrees);
_logger.LogInformation("{definition:l0} unwrapped longitude range {startRange:F2} to {endRange:F2} degrees",
definition.DisplayName,
Angle.FromRadians(longitudeRange.Start).Degrees,
Angle.FromRadians(longitudeRange.End).Degrees);
// Get size of projection in pixels
var xRange = new PixelRange(longitudeRange, a => a.ScaleToWidth(maxWidth));
// Restrict height of image to the visible range if we are not performing explicit cropping or no cropping
var yRange = _options.EquirectangularRender?.NoCrop == true || _options.EquirectangularRender?.ExplicitCrop == true
? new PixelRange(0, maxHeight) : new PixelRange(latitudeRange, a => a.ScaleToHeight(maxHeight));
_logger.LogInformation("{definition:l0} pixel range X: {minX} - {maxX} px", definition.DisplayName, xRange.Start, xRange.End);
_logger.LogInformation("{definition:l0} pixel range Y: {minY} - {maxY} px", definition.DisplayName, yRange.Start, yRange.End);
_logger.LogInformation("{definition:l0} width: {targetWidth} px", definition.DisplayName, xRange.Range);
_logger.LogInformation("{definition:l0} height: {targetWidth} px", definition.DisplayName, yRange.Range);
// Create target image with the correct dimensions for the projected satellite image
var target = new Image <Rgba32>(xRange.Range, yRange.Range);
_logger.LogInformation("{definition:l0} Reprojecting", definition.DisplayName);
// Perform reprojection
var operation = new ReprojectRowOperation(registration, SourceImage !, target, xRange.Start, yRange.Start, _options);
ParallelRowIterator.IterateRows(Configuration.Default, target.Bounds(), in operation);
return(target);
}
/// <inheritdoc />
protected override void OnFrameApply(ImageFrame <TPixel> source)
{
Configuration configuration = this.Configuration;
using IFrameQuantizer <TPixel> frameQuantizer = this.quantizer.CreateFrameQuantizer <TPixel>(configuration);
using IQuantizedFrame <TPixel> quantized = frameQuantizer.QuantizeFrame(source);
var operation = new RowIntervalOperation(this.SourceRectangle, source, quantized);
ParallelRowIterator.IterateRows(
configuration,
this.SourceRectangle,
in operation);
}
protected override void OnFrameApply(ImageFrame <TPixelBg> source)
{
var targetBounds = this.TargetImage.Bounds();
var sourceBounds = this.Source.Bounds();
var maxWidth = Math.Min(targetBounds.Width, sourceBounds.Width);
var operation = new RowIntervalOperation(
source,
this.TargetImage,
this.Blender,
this.Configuration,
maxWidth);
ParallelRowIterator.IterateRows(this.Configuration, this.SourceRectangle, operation);
}
/// <inheritdoc/>
protected override void OnFrameApply(ImageFrame <TPixel> source)
{
using Buffer2D <TPixel> firstPassPixels = this.Configuration.MemoryAllocator.Allocate2D <TPixel>(source.Size());
var interest = Rectangle.Intersect(this.SourceRectangle, source.Bounds());
// We use a rectangle 2x the interest width to allocate a buffer big enough
// for source and target bulk pixel conversion.
var operationBounds = new Rectangle(interest.X, interest.Y, interest.Width * 2, interest.Height);
// We can create a single sampling map with the size as if we were using the non separated 2D kernel
// the two 1D kernels represent, and reuse it across both convolution steps, like in the bokeh blur.
using var mapXY = new KernelSamplingMap(this.Configuration.MemoryAllocator);
mapXY.BuildSamplingOffsetMap(this.Kernel.Length, this.Kernel.Length, interest);
// Horizontal convolution
var horizontalOperation = new HorizontalConvolutionRowOperation(
interest,
firstPassPixels,
source.PixelBuffer,
mapXY,
this.Kernel,
this.Configuration,
this.PreserveAlpha);
ParallelRowIterator.IterateRows <HorizontalConvolutionRowOperation, Vector4>(
this.Configuration,
operationBounds,
in horizontalOperation);
// Vertical convolution
var verticalOperation = new VerticalConvolutionRowOperation(
interest,
source.PixelBuffer,
firstPassPixels,
mapXY,
this.Kernel,
this.Configuration,
this.PreserveAlpha);
ParallelRowIterator.IterateRows <VerticalConvolutionRowOperation, Vector4>(
this.Configuration,
operationBounds,
in verticalOperation);
}
/// <summary>
/// Returns a copy of the image frame in the given pixel format.
/// </summary>
/// <typeparam name="TPixel2">The pixel format.</typeparam>
/// <param name="configuration">The configuration providing initialization code which allows extending the library.</param>
/// <returns>The <see cref="ImageFrame{TPixel2}"/></returns>
internal ImageFrame <TPixel2> CloneAs <TPixel2>(Configuration configuration)
where TPixel2 : struct, IPixel <TPixel2>
{
if (typeof(TPixel2) == typeof(TPixel))
{
return(this.Clone(configuration) as ImageFrame <TPixel2>);
}
var target = new ImageFrame <TPixel2>(configuration, this.Width, this.Height, this.Metadata.DeepClone());
var operation = new RowIntervalOperation <TPixel2>(this, target, configuration);
ParallelRowIterator.IterateRows(
configuration,
this.Bounds(),
in operation);
return(target);
}
public void ApplyQuantizationDither <TFrameQuantizer, TPixel>(
ref TFrameQuantizer quantizer,
ImageFrame <TPixel> source,
IndexedImageFrame <TPixel> destination,
Rectangle bounds)
where TFrameQuantizer : struct, IQuantizer <TPixel>
where TPixel : unmanaged, IPixel <TPixel>
{
var ditherOperation = new QuantizeDitherRowOperation <TFrameQuantizer, TPixel>(
ref quantizer,
in Unsafe.AsRef(this),
source,
destination,
bounds);
ParallelRowIterator.IterateRows(
quantizer.Configuration,
bounds,
in ditherOperation);
}
/// <summary>
/// EWS-G1 images either require cropping on the left edge or the right edge, depending on the time of day. The
/// <c>Satellites.json</c> file contains crop values for a right-hand crop. This method identifies if a left
/// crop is required and adjusts the crop bounds accordingly.
/// </summary>
private void NormaliseEwsCrop()
{
Guard.Against.Null(Registration?.Image, nameof(Registration.Image));
if (Registration.Definition.DisplayName != "EWS-G1" || Registration.Definition.Crop == null)
{
return;
}
var operation = new EwsAlignmentRowOperation(Registration.Image);
ParallelRowIterator.IterateRows(Configuration.Default, Registration.Image.Bounds(), in operation);
if (operation.IsRightCrop())
{
return;
}
_logger.LogInformation("Swapping horizontal crop bounds for EWS-G1");
Registration.FlipHorizontalCrop = true;
}
public override ExecutionResult Run(IStepExecutionContext context)
{
var overlayOptions = _options.Overlay;
if (!overlayOptions.ApplyOverlay)
{
return(ExecutionResult.Next());
}
Guard.Against.Null(SourceImage, nameof(SourceImage));
var clut = _clutService.GetClut();
OverlayImage = new Image <Rgba32>(SourceImage.Width, SourceImage.Height);
var operation = new ApplyClutRowOperation(SourceImage, OverlayImage, clut);
ParallelRowIterator.IterateRows(Configuration.Default, SourceImage.Bounds(), in operation);
return(ExecutionResult.Next());
}
/// <inheritdoc/>
protected override void OnFrameApply(ImageFrame <TPixel> source)
{
MemoryAllocator memoryAllocator = this.Configuration.MemoryAllocator;
int numberOfPixels = source.Width * source.Height;
var interest = Rectangle.Intersect(this.SourceRectangle, source.Bounds());
using IMemoryOwner <int> histogramBuffer = memoryAllocator.Allocate <int>(this.LuminanceLevels, AllocationOptions.Clean);
// Build the histogram of the grayscale levels
var grayscaleOperation = new GrayscaleLevelsRowIntervalOperation(interest, histogramBuffer, source, this.LuminanceLevels);
ParallelRowIterator.IterateRows(
this.Configuration,
interest,
in grayscaleOperation);
Span <int> histogram = histogramBuffer.GetSpan();
if (this.ClipHistogramEnabled)
{
this.ClipHistogram(histogram, this.ClipLimit);
}
using IMemoryOwner <int> cdfBuffer = memoryAllocator.Allocate <int>(this.LuminanceLevels, AllocationOptions.Clean);
// Calculate the cumulative distribution function, which will map each input pixel to a new value.
int cdfMin = this.CalculateCdf(
ref MemoryMarshal.GetReference(cdfBuffer.GetSpan()),
ref MemoryMarshal.GetReference(histogram),
histogram.Length - 1);
float numberOfPixelsMinusCdfMin = numberOfPixels - cdfMin;
// Apply the cdf to each pixel of the image
var cdfOperation = new CdfApplicationRowIntervalOperation(interest, cdfBuffer, source, this.LuminanceLevels, numberOfPixelsMinusCdfMin);
ParallelRowIterator.IterateRows(
this.Configuration,
interest,
in cdfOperation);
}
/// <inheritdoc/>
protected override void OnFrameApply(ImageFrame <TPixel> source)
{
int brushSize = this.definition.BrushSize;
if (brushSize <= 0 || brushSize > source.Height || brushSize > source.Width)
{
throw new ArgumentOutOfRangeException(nameof(brushSize));
}
using Buffer2D <TPixel> targetPixels = this.Configuration.MemoryAllocator.Allocate2D <TPixel>(source.Size());
source.CopyTo(targetPixels);
var operation = new RowIntervalOperation(this.SourceRectangle, targetPixels, source, this.Configuration, brushSize >> 1, this.definition.Levels);
ParallelRowIterator.IterateRows(
this.Configuration,
this.SourceRectangle,
in operation);
Buffer2D <TPixel> .SwapOrCopyContent(source.PixelBuffer, targetPixels);
}
public void ApplyQuantizationDither <TFrameQuantizer, TPixel>(
ref TFrameQuantizer quantizer,
ReadOnlyMemory <TPixel> palette,
ImageFrame <TPixel> source,
Memory <byte> output,
Rectangle bounds)
where TFrameQuantizer : struct, IFrameQuantizer <TPixel>
where TPixel : struct, IPixel <TPixel>
{
var ditherOperation = new QuantizeDitherRowIntervalOperation <TFrameQuantizer, TPixel>(
ref quantizer,
in Unsafe.AsRef(this),
source,
output,
bounds,
palette,
ImageMaths.GetBitsNeededForColorDepth(palette.Span.Length));
ParallelRowIterator.IterateRows(
quantizer.Configuration,
bounds,
in ditherOperation);
}
private static void SecondPass <TFrameQuantizer, TPixel>(
ref TFrameQuantizer quantizer,
ImageFrame <TPixel> source,
Rectangle bounds,
Memory <byte> output,
ReadOnlyMemory <TPixel> palette)
where TFrameQuantizer : struct, IFrameQuantizer <TPixel>
where TPixel : unmanaged, IPixel <TPixel>
{
IDither dither = quantizer.Options.Dither;
if (dither is null)
{
var operation = new RowIntervalOperation <TFrameQuantizer, TPixel>(quantizer, source, output, bounds, palette);
ParallelRowIterator.IterateRows(
quantizer.Configuration,
bounds,
in operation);
return;
}
dither.ApplyQuantizationDither(ref quantizer, palette, source, output, bounds);
}
public static void HorizontalOffset(this Image <Rgba32> image, int amount)
{
var operation = new OffsetRowOperation(image, amount);
ParallelRowIterator.IterateRows <OffsetRowOperation, Rgba32>(Configuration.Default, image.Bounds(), in operation);
}
/// <summary>
/// Sets the background outside the Earth on geostationary images to be transparent in order to facilitate blending.
/// </summary>
/// <param name="image">source image</param>
public static void RemoveBackground(this Image <Rgba32> image)
{
var operation = new RemoveBackgroundRowOperation(image);
ParallelRowIterator.IterateRows(Configuration.Default, image.Bounds(), in operation);
}