public AddNoiseCommand(
int range,
RasterColorChannel channel
)
- (instancetype)initWithRange:(NSUInteger)range channel:(LTRasterColorChannel)channel NS_DESIGNATED_INITIALIZER;
public AddNoiseCommand(
int range,
RasterColorChannel channel
);
public:
AddNoiseCommand(
int range,
RasterColorChannel channel
)
range
Percentage of coverage, expressed in tenths of a percent. Valid values are 0 to 1000.
channel
value that represents the color plane to which to add the noise.
In order to speed up widely used image processing filters in LEADTOOLS, the grayscale value (master channel) of a colored image is calculated using the following formulas:
#define CalcGrayValue(r, g, b) ((L_UCHAR)(((L_UCHAR) (((2 * (L_UINT) (r)) + (5 * (L_UINT) (g)) + (L_UINT) (b) + 4) / 8))))
#define CalcGrayValue16(r, g, b) ((L_UINT16) (((2 * (L_UINT32) (r)) + (5 * (L_UINT32) (g)) + (L_UINT32) (b) + 4) / 8))
#define CalcGrayValue32(r, g, b) ((L_UINT32) (((2 * (L_UINT32) (r)) + (5 * (L_UINT32) (g)) + (L_UINT32) (b) + 4) / 8))
Run the AddNoiseCommand to add red noise to the image(Default constructor example).
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageProcessing;
using Leadtools.ImageProcessing.Effects;
public void AddNoiseConstructorExample()
{
// Load an image
RasterCodecs codecs = new RasterCodecs();
codecs.ThrowExceptionsOnInvalidImages = true;
RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "sample2.cmp"));
// Prepare the command
AddNoiseCommand command = new AddNoiseCommand(250, RasterColorChannel.Red);
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:\LEADTOOLS22\Resources\Images";
}
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