Channel Property

Summary

Gets or sets a value that represents the color plane to which to add the noise.

Syntax

Objective-C

C++/CLI

Java

Python

public RasterColorChannel Channel { get; set; }

@property (nonatomic, assign) LTRasterColorChannel channel;

public RasterColorChannel getChannel(); 
public void setChannel( 
   RasterColorChannel rasterColorChannel 
);

public: 
property RasterColorChannel Channel { 
   RasterColorChannel get(); 
   void set (    RasterColorChannel ); 
}

Channel # get and set (AddNoiseCommand)

Property Value

Color plane constant. This plane will be affected by the noise.

Remarks

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))

Example

Java

using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing; 
using Leadtools.ImageProcessing.Effects; 
 
 
public void AddNoiseCommandExample() 
{ 
   // 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(); 
   command.Range = 250; 
   //Add red noise with 25 percent coverage 
   command.Channel = 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:\LEADTOOLS23\Resources\Images"; 
}

 
import java.io.File; 
import java.io.IOException; 
 
import org.junit.*; 
import org.junit.Test; 
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.RasterColorChannel; 
import leadtools.imageprocessing.effects.AddNoiseCommand; 
 
 
public void addNoiseCommandExample() { 
    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, "sample2.cmp")); 
 
    // Prepare the command 
    AddNoiseCommand command = new AddNoiseCommand(); 
    command.setRange(250); 
    // Add red noise with 25 percent coverae 
    command.setChannel(RasterColorChannel.RED); 
    int change = command.run(image); 
    assertTrue(change != RasterImageChangedFlags.NONE); 
 
    codecs.save(image, combine(LEAD_VARS_IMAGES_DIR, "Result.jpg"), RasterImageFormat.JPEG, 24); 
    System.out.println("Command run and image saved to: " + combine(LEAD_VARS_IMAGES_DIR, "Result.jpg")); 
}

Requirements

Target Platforms

Reference

AddNoiseCommand Class

AddNoiseCommand Members

Download our FREE evaluation

Help Version 23.0.2024.3.3

Leadtools.ImageProcessing.Effects Assembly

Introduction

Getting Started

Namespaces

Leadtools.ImageProcessing.Effects Namespace

Assemblies