Develop Reference

How do I create an image for every color in the ARGB spectrum in java?

I wanna make a pixel image for every color, but this code only makes (255,255,255,255) images. It loops through the entire for loop before it uses the int values for the creation of the images. How do I stop it at each integer during the for loop so I can make images that start at (0,0,0,0) then go to (0,0,0,1) and then (0,0,0,2) and so on all the way to (255,255,255,255)? so, I need to make 4,294,967,296 images in total.
import javax.imageio.ImageIO;
import java.awt.image.BufferedImage;
import java.io.File;
import java.io.IOException;
public class Main {
public static void main(String[] args) throws IOException{
int width = 1;
int height = 1;
BufferedImage img = new BufferedImage(width, height, BufferedImage.TYPE_INT_ARGB);
File f = null;
try{
for(int i = 0; i < 4294967297; i++) {
for(int y = 0; y < height; y++) {
for(int x = 0; x < width; x++){
for(int alpha = 0; alpha < 256; alpha++){
for(int red = 0; red < 256; red++){
for(int green = 0; green < 256; green++){
for(int blue = 0; blue < 256; blue++) {
int a = alpha;
int r = red;
int g = green;
int b = blue;
int p = (a << 24) | (r << 16) | (g << 8) | b;
img.setRGB(x, y, p);
}
}
}
}
}
}
f = new File("/Users/dimensionalengineer/Downloads/Colors/Color" + i + ".png");
ImageIO.write(img, "png", f);
}
} catch(IOException e) {
System.out.println("Error: " + e);
}
}
}

If you change the order of the for loops it will create one image for each possible colors. But beware that your file manager might not be able to handle that many files inside of one directory.
BufferedImage img = null;
File f = null;
int width = 1;
int height = 1;
int i = 0;
// loop for every possible color
for(int alpha = 0; alpha < 256; alpha++){
for(int red = 0; red < 256; red++){
for(int green = 0; green < 256; green++){
for(int blue = 0; blue < 256; blue++) {
// create one image filled with one color
img = new BufferedImage(width, height, BufferedImage.TYPE_INT_ARGB);
int a = alpha;
int r = red;
int g = green;
int b = blue;
int p = (a << 24) | (r << 16) | (g << 8) | b;
// loop every pixel
for(int y = 0; y < height; y++) {
for(int x = 0; x < width; x++){
img.setRGB(x, y, p);
}
}
// save to file
f = new File("/Users/dimensionalengineer/Downloads/Colors/Color" + i++ + ".png");
ImageIO.write(img, "png", f);
// free ram
img.dispose();
}
}
}
}

Java Convert a greyscale and sepia version of an image with BufferedImage

I want to read an image and convert and output the original image, a greyscale version, and a sepia version. I am having trouble with the conversion, not very familiar with BufferedImage, and especially having problems with getRGB and setRGB method. I have this so far
import java.awt.Color;
import java.awt.Graphics2D;
import java.awt.image.BufferedImage;
import java.io.File;
import java.io.IOException;
import java.net.URL;
import javax.imageio.IIOImage;
import javax.imageio.ImageIO;
import javax.imageio.ImageWriteParam;
import javax.imageio.ImageWriter;
import javax.imageio.plugins.jpeg.JPEGImageWriteParam;
import javax.imageio.stream.ImageOutputStream;
public class ChangeColor{
static BufferedImage readImage( String Pic ) throws Exception {
BufferedImage image = ImageIO.read( new File("Pic.jpg") );
return( image );
}
public static void saveImage( BufferedImage img, File file ) throws IOException {
ImageWriter writer = null;
java.util.Iterator iter = ImageIO.getImageWritersByFormatName("jpg");
if( iter.hasNext() ){
writer = (ImageWriter)iter.next();
}
ImageOutputStream ios = ImageIO.createImageOutputStream( file );
writer.setOutput(ios);
ImageWriteParam param = new JPEGImageWriteParam( java.util.Locale.getDefault() );
param.setCompressionMode(ImageWriteParam.MODE_EXPLICIT) ;
param.setCompressionQuality(0.98f);
writer.write(null, new IIOImage( img, null, null ), param);
}
public static BufferedImage color2gray( BufferedImage inImage ) {
int width = inImage.getWidth();
int height = inImage.getHeight();
BufferedImage outImage = new BufferedImage( width, height, BufferedImage.TYPE_3BYTE_BGR );
for(int i=0; i<height; i++){
for(int j=0; j<width; j++){
Color c = new Color(image.getRGB(j, i));
int red = (int)(c.getRed() * 0.2126);
int green = (int)(c.getGreen() * 0.7152);
int blue = (int)(c.getBlue() *0.0722);
Color newColor = new Color(red+green+blue,
red+green+blue,red+green+blue);
image.setRGB(j,i,newColor.getRGB());
}
}
return( outImage );
}
public static BufferedImage color2sepia( BufferedImage inImage ) {
int width = inImage.getWidth();
int height = inImage.getHeight();
BufferedImage outImage = new BufferedImage( width, height, BufferedImage.TYPE_3BYTE_BGR );
for(int i=0; i<height; i++){
for(int j=0; j<width; j++){
Color c = new Color(image.getRGB(j, i));
int red = (int)(c.getRed());
int green = (int)(c.getGreen());
int blue = (int)(c.getBlue());
Color newColor = new Color(red* .393)+(green*.769)+(blue* .189),
(red* .349)+(green*.686)+(blue* .168),(red* .272)+(green*.534)+(blue* .131);
image.setRGB(j,i,newColor.getRGB());
}
}
return( outImage );
}
public static void main(String[] args) throws Exception {
BufferedImage colorImage, grayImage, sepiaImage;
if (args.length != 1)
System.out.println( "" );
else
{
colorImage = readImage ( args[0] );
grayImage = color2gray ( colorImage );
sepiaImage = color2sepia( colorImage );
saveImage( grayImage, new File( "greyPic.jpg" + args[0] ) );
saveImage( sepiaImage, new File( "sepiaPic.jpg"+ args[0] ) );
}
}
}
This is an image of what the output should look like:
Thank you.

Gray scaling is rather easy, sepia not so much. I stole the algorithm off the net...
import java.awt.EventQueue;
import java.awt.GridBagLayout;
import java.awt.color.ColorSpace;
import java.awt.image.BufferedImage;
import java.awt.image.ColorConvertOp;
import java.awt.image.WritableRaster;
import java.io.File;
import java.io.IOException;
import javax.imageio.ImageIO;
import javax.swing.ImageIcon;
import javax.swing.JLabel;
import javax.swing.JOptionPane;
import javax.swing.JPanel;
import javax.swing.UIManager;
import javax.swing.UnsupportedLookAndFeelException;
public class ColorAlteration {
public static void main(String[] args) {
EventQueue.invokeLater(new Runnable() {
#Override
public void run() {
try {
UIManager.setLookAndFeel(UIManager.getSystemLookAndFeelClassName());
} catch (ClassNotFoundException | InstantiationException | IllegalAccessException | UnsupportedLookAndFeelException ex) {
}
try {
BufferedImage master = ImageIO.read(new File("C:\\hold\\thumbnails\\_cg_836___Tilting_Windmills___by_Serena_Clearwater.png"));
BufferedImage gray = toGrayScale(master);
BufferedImage sepia = toSepia(master, 80);
JPanel panel = new JPanel(new GridBagLayout());
panel.add(new JLabel(new ImageIcon(master)));
panel.add(new JLabel(new ImageIcon(gray)));
panel.add(new JLabel(new ImageIcon(sepia)));
JOptionPane.showMessageDialog(null, panel);
} catch (IOException ex) {
ex.printStackTrace();
}
}
});
}
public static BufferedImage toGrayScale(BufferedImage master) {
BufferedImage gray = new BufferedImage(master.getWidth(), master.getHeight(), BufferedImage.TYPE_INT_ARGB);
// Automatic converstion....
ColorConvertOp op = new ColorConvertOp(ColorSpace.getInstance(ColorSpace.CS_GRAY), null);
op.filter(master, gray);
return gray;
}
public static BufferedImage toSepia(BufferedImage img, int sepiaIntensity) {
BufferedImage sepia = new BufferedImage(img.getWidth(), img.getHeight(), BufferedImage.TYPE_INT_RGB);
// Play around with this. 20 works well and was recommended
// by another developer. 0 produces black/white image
int sepiaDepth = 20;
int w = img.getWidth();
int h = img.getHeight();
WritableRaster raster = sepia.getRaster();
// We need 3 integers (for R,G,B color values) per pixel.
int[] pixels = new int[w * h * 3];
img.getRaster().getPixels(0, 0, w, h, pixels);
// Process 3 ints at a time for each pixel. Each pixel has 3 RGB
// colors in array
for (int i = 0; i < pixels.length; i += 3) {
int r = pixels[i];
int g = pixels[i + 1];
int b = pixels[i + 2];
int gry = (r + g + b) / 3;
r = g = b = gry;
r = r + (sepiaDepth * 2);
g = g + sepiaDepth;
if (r > 255) {
r = 255;
}
if (g > 255) {
g = 255;
}
if (b > 255) {
b = 255;
}
// Darken blue color to increase sepia effect
b -= sepiaIntensity;
// normalize if out of bounds
if (b < 0) {
b = 0;
}
if (b > 255) {
b = 255;
}
pixels[i] = r;
pixels[i + 1] = g;
pixels[i + 2] = b;
}
raster.setPixels(0, 0, w, h, pixels);
return sepia;
}
}
You can find the original posting for the sepia algorithm here
And because I'm stubborn...I changed the sepia algorithm to work with alpha based images...
public static BufferedImage toSepia(BufferedImage img, int sepiaIntensity) {
BufferedImage sepia = new BufferedImage(img.getWidth(), img.getHeight(), BufferedImage.TYPE_INT_ARGB);
// Play around with this. 20 works well and was recommended
// by another developer. 0 produces black/white image
int sepiaDepth = 20;
int w = img.getWidth();
int h = img.getHeight();
WritableRaster raster = sepia.getRaster();
// We need 3 integers (for R,G,B color values) per pixel.
int[] pixels = new int[w * h * 3];
img.getRaster().getPixels(0, 0, w, h, pixels);
for (int x = 0; x < img.getWidth(); x++) {
for (int y = 0; y < img.getHeight(); y++) {
int rgb = img.getRGB(x, y);
Color color = new Color(rgb, true);
int r = color.getRed();
int g = color.getGreen();
int b = color.getBlue();
int gry = (r + g + b) / 3;
r = g = b = gry;
r = r + (sepiaDepth * 2);
g = g + sepiaDepth;
if (r > 255) {
r = 255;
}
if (g > 255) {
g = 255;
}
if (b > 255) {
b = 255;
}
// Darken blue color to increase sepia effect
b -= sepiaIntensity;
// normalize if out of bounds
if (b < 0) {
b = 0;
}
if (b > 255) {
b = 255;
}
color = new Color(r, g, b, color.getAlpha());
sepia.setRGB(x, y, color.getRGB());
}
}
return sepia;
}

I used ##MadProgrammer code to write this code. Which I think it is much more efficient.
Using raster data of the image instead of accessing each byte of image. Although it seems it copys the data into pixels array, it is not used in the program.
You are calling getRGB each time + getWidth() + getHeight() + getRed(), getGreen() + getBlue().
Writing colors directly into your image, I think it is a bottleneck once you write a color using setRGB, you will lose graphic processor benefits. (I read it somewhere, but can't find the link now.)
Converting the color back to Color object and getting it back using getRGB().
All I did was using bit-wise operators which it is very fast and then copied the pixel arrays once I was done working with it. Function call is expensive and I avoided them.
However, thanks for the idea, #MadProgrammer.
public static BufferedImage toSepia(BufferedImage image, int sepiaIntensity) {
int width = image.getWidth();
int height = image.getHeight();
int sepiaDepth = 20;
int[] imagePixels = image.getRGB(0, 0, width, height, null, 0, width);
for (int i = 0; i < imagePixels.length; i++) {
int color = imagePixels[i];
int r = (color >> 16) & 0xff;
int g = (color >> 8) & 0xff;
int b = (color) & 0xff;
int gry = (r + g + b) / 3;
r = g = b = gry;
r = r + (sepiaDepth * 2);
g = g + sepiaDepth;
if (r > 255) {
r = 255;
}
if (g > 255) {
g = 255;
}
if (b > 255) {
b = 255;
}
// Darken blue color to increase sepia effect
b -= sepiaIntensity;
// normalize if out of bounds
if (b < 0) {
b = 0;
}
if (b > 255) {
b = 255;
}
imagePixels[i] = (color & 0xff000000) + (r << 16) + (g << 8) + b;
}
BufferedImage res = new BufferedImage(width, height, BufferedImage.TYPE_INT_ARGB);
res.setRGB(0, 0, width, height, imagePixels, 0, width);
return res;
}

You can create a filter interface for code reuse.
FilterApp
import java.awt.image.BufferedImage;
import java.io.File;
import java.io.IOException;
import javax.imageio.ImageIO;
public class FilterApp {
public static ClassLoader loader = FilterApp.class.getClassLoader();
public static String outputDir = "build";
public static void main(String[] args) {
try {
BufferedImage srcImage = loadImage("lobster.jpg");
File dir = new File(outputDir);
if (!dir.exists()) {
dir.mkdirs();
}
for (FilterType filter : FilterType.values()) {
BufferedImage filteredImage = filter.applyFilter(srcImage);
String filename = String.format("%s/lobster_%s", outputDir, filter.name().toLowerCase());
writeImage(filteredImage, filename, "jpg");
}
} catch (IOException e) {
e.printStackTrace();
}
}
private static BufferedImage loadImage(String filename) throws IOException {
return ImageIO.read(loader.getResourceAsStream("resources/" + filename));
}
private static void writeImage(BufferedImage image, String filename, String ext) throws IOException {
ImageIO.write(image, ext, new File(filename + '.' + ext));
}
}
FilterType
import java.awt.image.BufferedImage;
import filter.GreyscaleFilter;
import filter.ImageFilter;
import filter.InvertFilter;
import filter.SepiaFilter;
public enum FilterType {
GREYSCALE(new GreyscaleFilter()),
INVERT(new InvertFilter()),
SEPIA_10(new SepiaFilter(10));
private ImageFilter filter;
public ImageFilter getFilter() { return filter; }
public BufferedImage applyFilter(BufferedImage img) {
return this.filter.apply(img);
}
private FilterType(ImageFilter filter) {
this.filter = filter;
}
}
ImageFilter
package filter;
import java.awt.image.BufferedImage;
/** Common Interface for different filters. */
public interface ImageFilter {
public BufferedImage apply(BufferedImage img);
}
GreyscaleFilter
package filter;
import java.awt.color.ColorSpace;
import java.awt.image.BufferedImage;
import java.awt.image.ColorConvertOp;
public class GreyscaleFilter implements ImageFilter {
#Override
public BufferedImage apply(BufferedImage img) {
BufferedImage result = new BufferedImage(img.getWidth(), img.getHeight(), img.getType());
ColorConvertOp op = new ColorConvertOp(ColorSpace.getInstance(ColorSpace.CS_GRAY), null);
op.filter(img, result);
return result;
}
}
InvertFilter
package filter;
import java.awt.Color;
import java.awt.image.BufferedImage;
public class InvertFilter implements ImageFilter {
#Override
public BufferedImage apply(BufferedImage img) {
BufferedImage result = new BufferedImage(img.getWidth(), img.getHeight(), img.getType());
for (int x = 0; x < img.getWidth(); x++) {
for (int y = 0; y < img.getHeight(); y++) {
int rgb = img.getRGB(x, y);
Color color = new Color(rgb, true);
int r = 255 - color.getRed();
int g = 255 - color.getGreen();
int b = 255 - color.getBlue();
color = new Color(r, g, b, color.getAlpha());
result.setRGB(x, y, color.getRGB());
}
}
return result;
}
}
SepiaFilter
package filter;
import java.awt.Color;
import java.awt.image.BufferedImage;
// Algorithm obtained from http://stackoverflow.com/questions/21899824
public class SepiaFilter implements ImageFilter {
private int intensity;
public void setIntensity(int intensity) { this.intensity = intensity; }
public int getIntensity() { return intensity; }
public SepiaFilter(int intensity) {
this.intensity = intensity;
}
#Override
public BufferedImage apply(BufferedImage img) {
BufferedImage result = new BufferedImage(img.getWidth(), img.getHeight(), img.getType());
// Play around with this.
// 20 works well and was recommended by another developer.
// 0 produces black/white image
int sepiaDepth = 20;
int w = img.getWidth();
int h = img.getHeight();
// We need 3 integers (for R,G,B color values) per pixel.
int[] pixels = new int[w * h * 3];
img.getRaster().getPixels(0, 0, w, h, pixels);
for (int x = 0; x < img.getWidth(); x++) {
for (int y = 0; y < img.getHeight(); y++) {
int rgb = img.getRGB(x, y);
Color color = new Color(rgb, true);
int r = color.getRed();
int g = color.getGreen();
int b = color.getBlue();
int gry = (r + g + b) / 3;
r = g = b = gry;
r = r + (sepiaDepth * 2);
g = g + sepiaDepth;
if (r > 255) { r = 255; }
if (g > 255) { g = 255; }
if (b > 255) { b = 255; }
// Darken blue color to increase sepia effect
b -= this.intensity;
// normalize if out of bounds
if (b < 0) { b = 0; }
if (b > 255) { b = 255; }
color = new Color(r, g, b, color.getAlpha());
result.setRGB(x, y, color.getRGB());
}
}
return result;
}
}
Output
Source Image
Generated Images

How to store rgb values of each pixel in array

I have this code, in which I extracted the value of RGB for each pixel, but I'm wondering how to store each RGB value in an array so that I can use it further in my project. I want to take these stored RGB values as an input for backpropagation algorithm.
import java.awt.image.BufferedImage;
import java.io.File;
import java.io.IOException;
import javax.imageio.ImageIO;
import java.awt.Color;
import java.util.ArrayList;
import java.util.List;
public class PrintImageARGBPixels
{
public static void main(String args[])throws IOException
{
BufferedImage image = ImageIO.read(new File("C:\\Users\\ark\\Desktop\\project_doc\\logo_1004.jpg"));
int r=0,g=0,b=0;
int w = image.getWidth();
int h = image.getHeight();
System.out.println("Image Dimension: Height-" + h + ", Width-"+ w);
int total_pixels=(h * w);
ArrayList <Color> arr = new ArrayList<Color>();
for(int x=0;x<w;x++)
{
for(int y=0;y<h;y++)
{
int rgb = image.getRGB(x, y);
Color c = new Color(rgb);
r=c.getRed();
g=c.getGreen();
b=c.getBlue();
}
}
Color co = new Color(r,g,b);
arr.add(co);
for(int i=0;i<total_pixels;i++)
System.out.println("Element 1"+i+1+", color: Red " + arr.get(i).getRed() + " Green +arr.get(i).getGreen()+ " Blue " + arr.get(i).getBlue());
}
}

// Store the color objects in an array
int total_pixels = (h * w);
Color[] colors = new Color[total_pixels];
int i = 0;
for (int x = 0; x < w; x++)
{
for (int y = 0; y < h; y++)
{
colors[i] = new Color(image.getRGB(x, y));
i++;
}
}
// Later you can retrieve them
for (int i = 0; i < total_pixels; i++)
{
Color c = colors[i];
int r = c.getRed();
int g = c.getGreen();
int b = c.getBlue();
System.out.println("Red" + r + "Green" + g + "Blue" + b);
}
IGNORE THE BELOW, it is my old answer
Use a multidimensional array:
[
[255, 255, 255],
[108, 106, 107],
[100, 100, 55],
...
]
You can then refer to each pixel, [0][x] to get the colour values.

Why don't you just create a RGB Object like this
public class RGB {
private int R, G, B;
public RGB(int R, int G, int B){
this.R = R;
this.G = G;
this.B = B;
}
public int getR() {
return R;
}
public void setR(int r) {
R = r;
}
public int getG() {
return G;
}
public void setG(int g) {
G = g;
}
public int getB() {
return B;
}
public void setB(int b) {
B = b;
}
}
So you can store RGB Objects in your array to use them later.
Greetings!

It can be achieved easier with HashMap, where Key is an int[] (x and y) and value is the another int[] (r, g, b).

How to make Histogram Normalize and Equalize in java using JAI library?

I m making App in java using Swing component and JAI library. I make histogram of black and white or gray scale image.Is this method of making histogram correct? iif it is correct then how can i do normalization and Equalization of histogram in my App in java using JAI library?my code is below. in my code i make BufferedImage object and then make and plot histogram of that image .
enter code here
import java.awt.Color;
import java.awt.Graphics;
import java.awt.image.BufferedImage;
import java.io.IOException;
import javax.media.jai.JAI;
import javax.media.jai.PlanarImage;
import javax.swing.*;
public class FinalHistogram extends JPanel {
static int[] bins = new int[256];
static int[] newBins = new int[256];
static int x1 = 0, y1 = 0;
static PlanarImage image = JAI.create("fileload", "alp_finger.tiff");
static BufferedImage bi = image.getAsBufferedImage();
FinalHistogram(int[] pbins) {
for (int i = 0; i < 256; i++) {
bins[i] = pbins[i];
newBins[i] = 0;
}
repaint();
}
#Override
protected void paintComponent(Graphics g) {
for (int i = 0; i < 256; i++) {
g.drawLine(150 + i, 300, 150 + i, 300 - (bins[i] / 300));
if (i == 0 || i == 255) {
String sr = new Integer((i)).toString();
g.drawString(sr, 150 + i, 305);
}
System.out.println("bin[" + i + "]===" + bins[i]);
}
}
public static void main(String[] args) throws IOException {
int[] sbins = new int[256];
int pixel = 0;
int k = 0;
for (int x = 0; x < bi.getWidth(); x++) {
for (int y = 0; y < bi.getHeight(); y++) {
pixel = bi.getRaster().getSample(x, y, 0);
k = (int) (pixel / 256);
sbins[k]++;
//pixel = bi.getRGB(x, y) & 0x000000ff;
//k=pixel;
//int[] pixels = m_image.getRGB(0, 0, m_image.getWidth(), m_image.getHeight(), null, 0, m_image.getWidth());
//short currentValue = 0;
//int red,green,blue;
//for(int i = 0; i<pixels.length; i++){
//red = (pixels[i] >> 16) & 0x000000FF;
//green = (pixels[i] >>8 ) & 0x000000FF;
//blue = pixels[i] & 0x000000FF;
//currentValue = (short)((red + green + blue) / 3); //Current value gives the average //Disregard the alpha
//assert(currentValue >= 0 && currentValue <= 255); //Something is awfully wrong if this goes off...
//m_histogramArray[currentValue] += 1; //Increment the specific value of the array
//}
}
}
JTabbedPane jtp = new JTabbedPane();
jtp.addTab("Histogram", new JScrollPane(new FinalHistogram(sbins)));
JFrame frame = new JFrame();
frame.setSize(500, 500);
frame.add(new JScrollPane(jtp));
frame.setVisible(true);
frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
}
}

Colorizing images in Java

I'm working on some code to colorize an image in Java. Basically what I'd like to do is something along the lines of GIMP's colorize command, so that if I have a BufferedImage and a Color, I can colorize the Image with the given color. Anyone got any ideas? My current best guess at doing something like this is to get the rgb value of each pixel in the BufferedImage and add the RGB value of the Color to it with some scaling factor.

Let Y = 0.3*R + 0.59*G + 0.11*B for each pixel in the image, then set them to be
((R1+Y)/2,(G1+Y)/2,(B1+Y)/2)
if (R1,G1,B1) is what you are colorizing with.

I have never used GIMP's colorize command. However, if your getting the RGB value of each pixel and adding RGB value to it you should really use a LookupOp. Here is some code that I wrote to apply a BufferedImageOp to a BufferedImage.
Using Nicks example from above heres how I would do it.
Let Y = 0.3*R + 0.59*G + 0.11*B for
each pixel
(R1,G1,B1) is what you are colorizing
with
protected LookupOp createColorizeOp(short R1, short G1, short B1) {
short[] alpha = new short[256];
short[] red = new short[256];
short[] green = new short[256];
short[] blue = new short[256];
int Y = 0.3*R + 0.59*G + 0.11*B
for (short i = 0; i < 256; i++) {
alpha[i] = i;
red[i] = (R1 + i*.3)/2;
green[i] = (G1 + i*.59)/2;
blue[i] = (B1 + i*.11)/2;
}
short[][] data = new short[][] {
red, green, blue, alpha
};
LookupTable lookupTable = new ShortLookupTable(0, data);
return new LookupOp(lookupTable, null);
}
It creates a BufferedImageOp that will mask out each color if the mask boolean is true.
Its simple to call too.
BufferedImageOp colorizeFilter = createColorizeOp(R1, G1, B1);
BufferedImage targetImage = colorizeFilter.filter(sourceImage, null);
If this is not what your looking for I suggest you look more into BufferedImageOp's.
This is would also be more efficient since you would not need to do the calculations multiple times on different images. Or do the calculations over again on different BufferedImages as long as the R1,G1,B1 values don't change.

This works exactly like the Colorize function in GIMP and it preserves the transparency. I've also added a few things like Contrast and Brightness, Hue, Sat, and Luminosity - 0circle0 Google Me --> ' Sprite Creator 3'
import java.awt.Color;
import java.awt.image.BufferedImage;
public class Colorizer
{
public static final int MAX_COLOR = 256;
public static final float LUMINANCE_RED = 0.2126f;
public static final float LUMINANCE_GREEN = 0.7152f;
public static final float LUMINANCE_BLUE = 0.0722f;
double hue = 180;
double saturation = 50;
double lightness = 0;
int[] lum_red_lookup;
int[] lum_green_lookup;
int[] lum_blue_lookup;
int[] final_red_lookup;
int[] final_green_lookup;
int[] final_blue_lookup;
public Colorizer()
{
doInit();
}
public void doHSB(double t_hue, double t_sat, double t_bri, BufferedImage image)
{
hue = t_hue;
saturation = t_sat;
lightness = t_bri;
doInit();
doColorize(image);
}
private void doInit()
{
lum_red_lookup = new int[MAX_COLOR];
lum_green_lookup = new int[MAX_COLOR];
lum_blue_lookup = new int[MAX_COLOR];
double temp_hue = hue / 360f;
double temp_sat = saturation / 100f;
final_red_lookup = new int[MAX_COLOR];
final_green_lookup = new int[MAX_COLOR];
final_blue_lookup = new int[MAX_COLOR];
for (int i = 0; i < MAX_COLOR; ++i)
{
lum_red_lookup[i] = (int) (i * LUMINANCE_RED);
lum_green_lookup[i] = (int) (i * LUMINANCE_GREEN);
lum_blue_lookup[i] = (int) (i * LUMINANCE_BLUE);
double temp_light = (double) i / 255f;
Color color = new Color(Color.HSBtoRGB((float) temp_hue, (float) temp_sat, (float) temp_light));
final_red_lookup[i] = (int) (color.getRed());
final_green_lookup[i] = (int) (color.getGreen());
final_blue_lookup[i] = (int) (color.getBlue());
}
}
public void doColorize(BufferedImage image)
{
int height = image.getHeight();
int width;
while (height-- != 0)
{
width = image.getWidth();
while (width-- != 0)
{
Color color = new Color(image.getRGB(width, height), true);
int lum = lum_red_lookup[color.getRed()] + lum_green_lookup[color.getGreen()] + lum_blue_lookup[color.getBlue()];
if (lightness > 0)
{
lum = (int) ((double) lum * (100f - lightness) / 100f);
lum += 255f - (100f - lightness) * 255f / 100f;
}
else if (lightness < 0)
{
lum = (int) (((double) lum * (lightness + 100f)) / 100f);
}
Color final_color = new Color(final_red_lookup[lum], final_green_lookup[lum], final_blue_lookup[lum], color.getAlpha());
image.setRGB(width, height, final_color.getRGB());
}
}
}
public BufferedImage changeContrast(BufferedImage inImage, float increasingFactor)
{
int w = inImage.getWidth();
int h = inImage.getHeight();
BufferedImage outImage = new BufferedImage(w, h, BufferedImage.TYPE_INT_ARGB);
for (int i = 0; i < w; i++)
{
for (int j = 0; j < h; j++)
{
Color color = new Color(inImage.getRGB(i, j), true);
int r, g, b, a;
float fr, fg, fb;
r = color.getRed();
fr = (r - 128) * increasingFactor + 128;
r = (int) fr;
r = keep256(r);
g = color.getGreen();
fg = (g - 128) * increasingFactor + 128;
g = (int) fg;
g = keep256(g);
b = color.getBlue();
fb = (b - 128) * increasingFactor + 128;
b = (int) fb;
b = keep256(b);
a = color.getAlpha();
outImage.setRGB(i, j, new Color(r, g, b, a).getRGB());
}
}
return outImage;
}
public BufferedImage changeGreen(BufferedImage inImage, int increasingFactor)
{
int w = inImage.getWidth();
int h = inImage.getHeight();
BufferedImage outImage = new BufferedImage(w, h, BufferedImage.TYPE_INT_ARGB);
for (int i = 0; i < w; i++)
{
for (int j = 0; j < h; j++)
{
Color color = new Color(inImage.getRGB(i, j), true);
int r, g, b, a;
r = color.getRed();
g = keep256(color.getGreen() + increasingFactor);
b = color.getBlue();
a = color.getAlpha();
outImage.setRGB(i, j, new Color(r, g, b, a).getRGB());
}
}
return outImage;
}
public BufferedImage changeBlue(BufferedImage inImage, int increasingFactor)
{
int w = inImage.getWidth();
int h = inImage.getHeight();
BufferedImage outImage = new BufferedImage(w, h, BufferedImage.TYPE_INT_ARGB);
for (int i = 0; i < w; i++)
{
for (int j = 0; j < h; j++)
{
Color color = new Color(inImage.getRGB(i, j), true);
int r, g, b, a;
r = color.getRed();
g = color.getGreen();
b = keep256(color.getBlue() + increasingFactor);
a = color.getAlpha();
outImage.setRGB(i, j, new Color(r, g, b, a).getRGB());
}
}
return outImage;
}
public BufferedImage changeRed(BufferedImage inImage, int increasingFactor)
{
int w = inImage.getWidth();
int h = inImage.getHeight();
BufferedImage outImage = new BufferedImage(w, h, BufferedImage.TYPE_INT_ARGB);
for (int i = 0; i < w; i++)
{
for (int j = 0; j < h; j++)
{
Color color = new Color(inImage.getRGB(i, j), true);
int r, g, b, a;
r = keep256(color.getRed() + increasingFactor);
g = color.getGreen();
b = color.getBlue();
a = color.getAlpha();
outImage.setRGB(i, j, new Color(r, g, b, a).getRGB());
}
}
return outImage;
}
public BufferedImage changeBrightness(BufferedImage inImage, int increasingFactor)
{
int w = inImage.getWidth();
int h = inImage.getHeight();
BufferedImage outImage = new BufferedImage(w, h, BufferedImage.TYPE_INT_ARGB);
for (int i = 0; i < w; i++)
{
for (int j = 0; j < h; j++)
{
Color color = new Color(inImage.getRGB(i, j), true);
int r, g, b, a;
r = keep256(color.getRed() + increasingFactor);
g = keep256(color.getGreen() + increasingFactor);
b = keep256(color.getBlue() + increasingFactor);
a = color.getAlpha();
outImage.setRGB(i, j, new Color(r, g, b, a).getRGB());
}
}
return outImage;
}
public int keep256(int i)
{
if (i <= 255 && i >= 0)
return i;
if (i > 255)
return 255;
return 0;
}
}

I wanted to do the exact same thing as the question poster wanted to do but the above conversion did not remove colors like the GIMP does (ie green with a red overlay made an unpleasant brown color etc). So I downloaded the source code for GIMP and converted the c code over to Java.
Posting it in this thread just in case anyone else wants to do the same (since it is the first thread that comes up in Google). The conversion still changes the white color when it should not, it's probably a casting issue from double to int. The class converts a BufferedImage in-place.
public class Colorize {
public static final int MAX_COLOR = 256;
public static final float LUMINANCE_RED = 0.2126f;
public static final float LUMINANCE_GREEN = 0.7152f;
public static final float LUMINANCE_BLUE = 0.0722f;
double hue = 180;
double saturation = 50;
double lightness = 0;
int [] lum_red_lookup;
int [] lum_green_lookup;
int [] lum_blue_lookup;
int [] final_red_lookup;
int [] final_green_lookup;
int [] final_blue_lookup;
public Colorize( int red, int green, int blue )
{
doInit();
}
public Colorize( double t_hue, double t_sat, double t_bri )
{
hue = t_hue;
saturation = t_sat;
lightness = t_bri;
doInit();
}
public Colorize( double t_hue, double t_sat )
{
hue = t_hue;
saturation = t_sat;
doInit();
}
public Colorize( double t_hue )
{
hue = t_hue;
doInit();
}
public Colorize()
{
doInit();
}
private void doInit()
{
lum_red_lookup = new int [MAX_COLOR];
lum_green_lookup = new int [MAX_COLOR];
lum_blue_lookup = new int [MAX_COLOR];
double temp_hue = hue / 360f;
double temp_sat = saturation / 100f;
final_red_lookup = new int [MAX_COLOR];
final_green_lookup = new int [MAX_COLOR];
final_blue_lookup = new int [MAX_COLOR];
for( int i = 0; i < MAX_COLOR; ++i )
{
lum_red_lookup [i] = ( int )( i * LUMINANCE_RED );
lum_green_lookup[i] = ( int )( i * LUMINANCE_GREEN );
lum_blue_lookup [i] = ( int )( i * LUMINANCE_BLUE );
double temp_light = (double)i / 255f;
Color color = new Color( Color.HSBtoRGB( (float)temp_hue,
(float)temp_sat,
(float)temp_light ) );
final_red_lookup [i] = ( int )( color.getRed() );
final_green_lookup[i] = ( int )( color.getGreen() );
final_blue_lookup [i] = ( int )( color.getBlue() );
}
}
public void doColorize( BufferedImage image )
{
int height = image.getHeight();
int width;
while( height-- != 0 )
{
width = image.getWidth();
while( width-- != 0 )
{
Color color = new Color( image.getRGB( width, height ) );
int lum = lum_red_lookup [color.getRed ()] +
lum_green_lookup[color.getGreen()] +
lum_blue_lookup [color.getBlue ()];
if( lightness > 0 )
{
lum = (int)((double)lum * (100f - lightness) / 100f);
lum += 255f - (100f - lightness) * 255f / 100f;
}
else if( lightness < 0 )
{
lum = (int)(((double)lum * lightness + 100f) / 100f);
}
Color final_color = new Color( final_red_lookup[lum],
final_green_lookup[lum],
final_blue_lookup[lum],
color.getAlpha() );
image.setRGB( width, height, final_color.getRGB() );
}
}
}