// Catalano Imaging Library
// The Catalano Framework
//
// Copyright © Diego Catalano, 2012-2016
// diego.catalano at live.com
//
// This library is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 2.1 of the License, or (at your option) any later version.
//
// This library is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// Lesser General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License along with this library; if not, write to the Free Software
// Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
//
package Catalano.Imaging.Concurrent.Filters;
import Catalano.Imaging.Concurrent.Share;
import Catalano.Imaging.FastBitmap;
import Catalano.Imaging.IApplyInPlace;
/**
* Base class for image grayscaling.
* @author Diego Catalano
*/
public class Grayscale implements IApplyInPlace {
private double redCoefficient = 0.2125;
private double greenCoefficient = 0.7154;
private double blueCoefficient = 0.0721;
private FastBitmap result;
/**
* Three methods for grayscale.
*/
public static enum Algorithm {
/**
* (Max(red, green, blue) + Min(red, green, blue)) / 2
*/
Lightness,
/**
* (red + green + blue) / 3
*/
Average,
/**
* (red * green * blue) ^ 1/3
*/
GeometricMean,
/**
* 0.2125R + 0.7154G + 0.0721B
*/
Luminosity,
/**
* Min(red, green, blue)
*/
MinimumDecomposition,
/**
* Max(red, green, blue)
*/
MaximumDecomposition
};
private Algorithm grayscaleMethod = Algorithm.Luminosity;
private boolean isAlgorithm = false;
/**
* Initializes a new instance of the Grayscale class.
* In this constructor, will be 0.2125B + 0.7154G + 0.0721B.
*/
public Grayscale() {}
/**
* Initializes a new instance of the Grayscale class.
* @param redCoefficient Portion of red channel's value to use during conversion from RGB to grayscale.
* @param greenCoefficient Portion of green channel's value to use during conversion from RGB to grayscale.
* @param blueCoefficient Portion of blue channel's value to use during conversion from RGB to grayscale.
*/
public Grayscale(double redCoefficient, double greenCoefficient, double blueCoefficient) {
this.redCoefficient = redCoefficient;
this.greenCoefficient = greenCoefficient;
this.blueCoefficient = blueCoefficient;
this.isAlgorithm = false;
}
/**
* Initializes a new instance of the Grayscale class.
* @param grayscaleMethod Methods for grayscaling.
*/
public Grayscale(Algorithm grayscaleMethod){
this.grayscaleMethod = grayscaleMethod;
this.isAlgorithm = true;
}
/**
* Get red coefficient
* @return red coefficient
*/
public double getRedCoefficient() {
return redCoefficient;
}
/**
* Set red coefficient
* @param redCoefficient red coefficient
*/
public void setRedCoefficient(double redCoefficient) {
this.redCoefficient = redCoefficient;
}
/**
* Get green coefficient
* @return green coefficient
*/
public double getGreenCoefficient() {
return greenCoefficient;
}
/**
* Set green coefficient
* @param greenCoefficient green coefficient
*/
public void setGreenCoefficient(double greenCoefficient) {
this.greenCoefficient = greenCoefficient;
}
/**
* Get blue coefficient
* @return blue coefficient
*/
public double getBlueCoefficient() {
return blueCoefficient;
}
/**
* Set blue coefficient
* @param blueCoefficient blue coefficient
*/
public void setBlueCoefficient(double blueCoefficient) {
this.blueCoefficient = blueCoefficient;
}
/**
* Get Grayscale Method
* @return Grayscale Method
*/
public Algorithm getGrayscaleMethod() {
return grayscaleMethod;
}
/**
* Set Grayscale Method
* @param grayscaleMethod Grayscale Method
*/
public void setGrayscaleMethod(Algorithm grayscaleMethod) {
this.grayscaleMethod = grayscaleMethod;
}
@Override
public void applyInPlace(FastBitmap fb){
if (fb.isRGB()){
result = new FastBitmap(fb.getWidth(), fb.getHeight(), FastBitmap.ColorSpace.Grayscale);
Parallel(fb);
}
else{
throw new IllegalArgumentException("(Concurrent) Grayscale only works in RGB images.");
}
}
private void Parallel(FastBitmap fastBitmap){
int processors = Runtime.getRuntime().availableProcessors();
Thread[] t = new Thread[processors];
int part = fastBitmap.getHeight() / processors;
int last = processors - 1;
int startX = 0;
for (int i = 0; i < processors; i++){
if (i == last) part = fastBitmap.getHeight() - startX;
t[i] = new Thread(new Run(new Share(fastBitmap, startX, startX += part)));
t[i].start();
}
try {
for (int i = 0; i < processors; i++) {
t[i].join();
}
} catch (InterruptedException e) {
e.printStackTrace();
}
fastBitmap.setImage(result);
}
private class Run implements Runnable {
private Share share;
public Run(Share obj) {
this.share = obj;
}
@Override
public void run() {
if (!isAlgorithm){
double r,g,b,gray;
for (int x = share.startX; x < share.endHeight; x++) {
for (int y = 0; y < share.fastBitmap.getWidth(); y++) {
r = share.fastBitmap.getRed(x, y);
g = share.fastBitmap.getGreen(x, y);
b = share.fastBitmap.getBlue(x, y);
gray = (r*redCoefficient+g*greenCoefficient+b*blueCoefficient);
result.setGray(x, y, (int)gray);
}
}
}
else{
double r,g,b,gray;
switch(grayscaleMethod){
case Lightness:
// Lightness method
double max,min;
for (int x = share.startX; x < share.endHeight; x++) {
for (int y = 0; y < share.fastBitmap.getWidth(); y++) {
r = share.fastBitmap.getRed(x, y);
g = share.fastBitmap.getGreen(x, y);
b = share.fastBitmap.getBlue(x, y);
max = Math.max(r, g);
max = Math.max(max, b);
min = Math.min(r, g);
min = Math.min(min, b);
gray = (max+min)/2;
result.setGray(x, y, (int)gray);
}
}
break;
case Average:
for (int x = share.startX; x < share.endHeight; x++) {
for (int y = 0; y < share.fastBitmap.getWidth(); y++) {
r = share.fastBitmap.getRed(x, y);
g = share.fastBitmap.getGreen(x, y);
b = share.fastBitmap.getBlue(x, y);
gray = (r+g+b)/3;
result.setGray(x, y, (int)gray);
}
}
break;
case GeometricMean:
for (int x = share.startX; x < share.endHeight; x++) {
for (int y = 0; y < share.fastBitmap.getWidth(); y++) {
r = share.fastBitmap.getRed(x, y);
g = share.fastBitmap.getGreen(x, y);
b = share.fastBitmap.getBlue(x, y);
gray = Math.pow(r*g*b,0.33);
result.setGray(x, y, (int)gray);
}
}
break;
case Luminosity:
for (int x = share.startX; x < share.endHeight; x++) {
for (int y = 0; y < share.fastBitmap.getWidth(); y++) {
r = share.fastBitmap.getRed(x, y);
g = share.fastBitmap.getGreen(x, y);
b = share.fastBitmap.getBlue(x, y);
gray = (r*0.2125+g*0.7154+b*0.0721);
result.setGray(x, y, (int)gray);
}
}
break;
case MinimumDecomposition:
for (int x = share.startX; x < share.endHeight; x++) {
for (int y = 0; y < share.fastBitmap.getWidth(); y++) {
gray = share.fastBitmap.getRed(x, y);
gray = Math.min(gray, share.fastBitmap.getGreen(x, y));
gray = Math.min(gray, share.fastBitmap.getBlue(x, y));
result.setGray(x, y, (int)gray);
}
}
break;
case MaximumDecomposition:
for (int x = share.startX; x < share.endHeight; x++) {
for (int y = 0; y < share.fastBitmap.getWidth(); y++) {
gray = share.fastBitmap.getRed(x, y);
gray = Math.max(gray, share.fastBitmap.getGreen(x, y));
gray = Math.max(gray, share.fastBitmap.getBlue(x, y));
result.setGray(x, y, (int)gray);
}
}
break;
}
}
}
}
}
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