public ColorIntensityBalanceCommand(
ColorIntensityBalanceCommandData shadows,
ColorIntensityBalanceCommandData midTone,
ColorIntensityBalanceCommandData highLight,
bool luminance
)
- (instancetype)initWithShadows:(LTColorIntensityBalanceCommandData *)shadows midTone:(LTColorIntensityBalanceCommandData *)midTone highLight:(LTColorIntensityBalanceCommandData *)highlight luminance:(BOOL)luminance NS_DESIGNATED_INITIALIZER;
public ColorIntensityBalanceCommand(
ColorIntensityBalanceCommandData shadows,
ColorIntensityBalanceCommandData midTone,
ColorIntensityBalanceCommandData highLight,
boolean luminance
);
public:
ColorIntensityBalanceCommand(
ColorIntensityBalanceCommandData^ shadows,
ColorIntensityBalanceCommandData^ midTone,
ColorIntensityBalanceCommandData^ highLight,
bool luminance
)
shadows
class used to adjust the dark tones.
midTone
class used to adjust the medium tones (midtones).
highLight
class used to adjust the bright tones (highlights).
luminance
Boolean flag that indicates whether to preserve luminance.
Value | Meaning |
true | Preserve luminance. |
false | Do not preserve luminance. |
Run the ColorIntensityBalanceCommand on an image, and balance the colors by increasing the red channel values.
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing.Color;
public void ColorIntensityBalanceConstructorExample()
{
// Load an image
RasterCodecs codecs = new RasterCodecs();
codecs.ThrowExceptionsOnInvalidImages = true;
RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "sample5.cmp"));
// Prepare the command
ColorIntensityBalanceCommandData Shadows = new ColorIntensityBalanceCommandData(60, 0, 0);
ColorIntensityBalanceCommandData MidTone = new ColorIntensityBalanceCommandData(40, 0, 0);
ColorIntensityBalanceCommandData HighLight = new ColorIntensityBalanceCommandData(70, 0, 0);
ColorIntensityBalanceCommand command = new ColorIntensityBalanceCommand(Shadows, MidTone, HighLight, false);
// Balance the colors by increasing the red channel values.
command.Run(image);
codecs.Save(image, Path.Combine(LEAD_VARS.ImagesDir, "Result.jpg"), RasterImageFormat.Jpeg, 24);
}
static class LEAD_VARS
{
public const string ImagesDir = @"C:\LEADTOOLS23\Resources\Images";
}
import java.io.File;
import java.io.IOException;
import org.junit.*;
import org.junit.runner.JUnitCore;
import org.junit.runner.Result;
import org.junit.runner.notification.Failure;
import static org.junit.Assert.*;
import leadtools.*;
import leadtools.codecs.*;
import leadtools.imageprocessing.color.*;
public void colorIntensityBalanceConstructorExample() {
final String LEAD_VARS_IMAGES_DIR = "C:\\LEADTOOLS23\\Resources\\Images";
// Load an image
RasterCodecs codecs = new RasterCodecs();
codecs.setThrowExceptionsOnInvalidImages(true);
RasterImage image = codecs.load(combine(LEAD_VARS_IMAGES_DIR, "sample5.cmp"));
// Prepare the command
ColorIntensityBalanceCommandData shadows = new ColorIntensityBalanceCommandData(60, 0, 0);
ColorIntensityBalanceCommandData midTone = new ColorIntensityBalanceCommandData(40, 0, 0);
ColorIntensityBalanceCommandData highLight = new ColorIntensityBalanceCommandData(70, 0, 0);
ColorIntensityBalanceCommand command = new ColorIntensityBalanceCommand(shadows, midTone, highLight, false);
// Balance the colors by increasing the red channel values
command.run(image);
codecs.save(image, combine(LEAD_VARS_IMAGES_DIR, "Result.jpg"), RasterImageFormat.JPEG, 24);
assertTrue(new File(combine(LEAD_VARS_IMAGES_DIR, "Result.jpg")).exists());
System.out.println("Command run and image saved to " + combine(LEAD_VARS_IMAGES_DIR, "Result.jpg"));
}
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