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Transformations.java
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Transformations.java
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package assignment;
/**
*
* CS314H Programming Assignment 1 - Java image processing
*
* Included is the Invert effect from the assignment. Use this as an
* example when writing the rest of your transformations. For
* convenience, you should place all of your transformations in this file.
*
* You can compile everything that is needed with
* javac -d bin src/assignment/*.java
*
* You can run the program with
* java -cp bin assignment.JIP
*
* Please note that the above commands assume that you are in the prog1
* directory.
*/
import java.lang.reflect.Array;
import java.util.ArrayList;
/*
Remove all red shades from the image.
*/
class NoRed extends ImageEffect{
public int[][] apply(int[][] pixels, ArrayList<ImageEffectParam> params){
for(int row = 0; row < pixels.length; row++){
for(int col = 0; col < pixels[row].length; col++){
int thisPixel = pixels[row][col];
//Assign thisPixel the same green and blue intensities, but set red to zero.
pixels[row][col] = makePixel(0, getGreen(thisPixel), getBlue(thisPixel));
}
}
return pixels;
}
}
/*
Remove all green shades from the image.
*/
class NoGreen extends ImageEffect{
public int[][] apply(int[][] pixels, ArrayList<ImageEffectParam> params){
for(int row = 0; row < pixels.length; row++){
for(int col = 0; col < pixels[row].length; col++){
int thisPixel = pixels[row][col];
//Assign thisPixel the same red and blue intensities, but set green to zero.
pixels[row][col] = makePixel(getRed(thisPixel), 0, getBlue(thisPixel));
}
}
return pixels;
}
}
/*
Remove all blue shades from the image.
*/
class NoBlue extends ImageEffect{
public int[][] apply(int[][] pixels, ArrayList<ImageEffectParam> params){
for(int row = 0; row < pixels.length; row++){
for(int col = 0; col < pixels[row].length; col++){
int thisPixel = pixels[row][col];
//Assign thisPixel the same red and green intensities, but set blue to zero.
pixels[row][col] = makePixel(getRed(thisPixel), getGreen(thisPixel), 0);
}
}
return pixels;
}
}
/*
Preserve any red shades in the image, but remove all green and blue.
*/
class RedOnly extends ImageEffect{
public int[][] apply(int[][] pixels, ArrayList<ImageEffectParam> params){
for(int row = 0; row < pixels.length; row++){
for(int col = 0; col < pixels[row].length; col++){
int thisPixel = pixels[row][col];
//Assign thisPixel the same red intensity, but set green and blue to zero.
pixels[row][col] = makePixel(getRed(thisPixel), 0, 0);
}
}
return pixels;
}
}
/*
Preserve any green shades in the image, but remove all red and blue.
*/
class GreenOnly extends ImageEffect{
public int[][] apply(int[][] pixels, ArrayList<ImageEffectParam> params){
for(int row = 0; row < pixels.length; row++){
for(int col = 0; col < pixels[row].length; col++){
int thisPixel = pixels[row][col];
//Assign thisPixel the same green intensity, but set red and blue to zero.
pixels[row][col] = makePixel(0, getGreen(thisPixel), 0);
}
}
return pixels;
}
}
/*
Preserve any blue shades in the image, but remove all red and green.
*/
class BlueOnly extends ImageEffect{
public int[][] apply(int[][] pixels, ArrayList<ImageEffectParam> params){
for(int row = 0; row < pixels.length; row++){
for(int col = 0; col < pixels[row].length; col++){
int thisPixel = pixels[row][col];
//Assign thisPixel the same blue intensity, but set red and green to zero.
pixels[row][col] = makePixel(0, 0, getBlue(thisPixel));
}
}
return pixels;
}
}
/*
Turn a color image into a black and white image.
*/
class BlackAndWhite extends ImageEffect{
public int[][] apply(int[][] pixels, ArrayList<ImageEffectParam> params){
for(int row = 0; row < pixels.length; row++){
for(int col = 0; col < pixels[row].length; col++){
int thisPixel = pixels[row][col];
//Compute the average intensity of the three colors.
int averageIntensity = (getRed(thisPixel) + getGreen(thisPixel) + getBlue(thisPixel)) / 3;
//Set red, green, and blue to the average intensity of the pixel.
pixels[row][col] = makePixel(averageIntensity, averageIntensity, averageIntensity);
}
}
return pixels;
}
}
/*
Reflect the image around a vertical line across the middle of the original image.
*/
class VerticalReflect extends ImageEffect{
public int[][] apply(int[][] pixels, ArrayList<ImageEffectParam> params){
for(int row = 0; row < pixels.length; row++){
//Iterate the columns of the image only halfway.
for(int col = 0; col < pixels[row].length / 2; col++){
//Swap the pixel with the corresponding pixel on the same row.
swapPixelsHorizontally(pixels, row, col);
}
}
return pixels;
}
//Parameters: Image as a 2D array, row and column of the pixel to be swapped
//Swap the specified pixel with the pixel on the same row but opposite column of the original pixel.
private void swapPixelsHorizontally(int[][] pixels, int row, int columnOfFirstPixel){
int columnOfSecondPixel = pixels[row].length - 1 - columnOfFirstPixel;
int firstPixel = pixels[row][columnOfFirstPixel];
pixels[row][columnOfFirstPixel] = pixels[row][columnOfSecondPixel];
pixels[row][columnOfSecondPixel] = firstPixel;
}
}
/*
Reflect the image around a horizontal line across the middle of the original image.
*/
class HorizontalReflect extends ImageEffect{
public int[][] apply(int[][] pixels, ArrayList<ImageEffectParam> params){
for(int col = 0; col < pixels[0].length; col++){
//Iterate the rows of the image only halfway.
for(int row = 0; row < pixels.length / 2; row++){
//Swap the pixel with the corresponding pixel on the same column.
swapPixelsVertically(pixels, col, row);
}
}
return pixels;
}
//Parameters: Image as a 2D array, row and column of the pixel to be swapped
//Swap the specified pixel with the pixel on the same column but opposite row of the original pixel.
private void swapPixelsVertically(int[][] pixels, int column, int rowOfFirstPixel){
int rowOfSecondPixel = pixels.length - 1 - rowOfFirstPixel;
int firstPixel = pixels[rowOfFirstPixel][column];
pixels[rowOfFirstPixel][column] = pixels[rowOfSecondPixel][column];
pixels[rowOfSecondPixel][column] = firstPixel;
}
}
/*
Create an image that is twice as high and twice as wide as your original picture.
*/
class Grow extends ImageEffect{
public int[][] apply(int[][] pixels, ArrayList<ImageEffectParam> params){
//Output array is twice as wide and twice as long the original.
int[][] output = new int[pixels.length * 2][pixels[0].length * 2];
for(int row = 0; row < pixels.length; row++){
for(int col = 0; col < pixels[row].length; col++){
int thisPixel = pixels[row][col];
//Assign thisPixel to the four corresponding pixels in output.
output[row * 2 + 1][col * 2 + 1] = thisPixel;
output[row * 2][col * 2 + 1] = thisPixel;
output[row * 2 + 1][col * 2] = thisPixel;
output[row * 2][ col * 2] = thisPixel;
}
}
return output;
}
}
/*
Create an image that is half as high and half as wide as your original picture.
*/
class Shrink extends ImageEffect{
public int[][] apply(int[][] pixels, ArrayList<ImageEffectParam> params){
//Output array is half as wide and half as long the original.
int[][] output = new int[pixels.length / 2][pixels[0].length / 2];
//Use nested for loops to iterate on the output array instead of the original.
for(int row = 0; row < output.length; row++){
for(int col = 0; col < output[row].length; col++){
//Compute the average color intensities for the four pixels in the input
int averageRed = (getRed(pixels[row * 2 + 1][col * 2 + 1]) +
getRed(pixels[row * 2][col * 2 + 1]) +
getRed(pixels[row * 2 + 1][col * 2]) +
getRed(pixels[row * 2][ col * 2])) / 4;
int averageGreen = (getGreen(pixels[row * 2 + 1][col * 2 + 1]) +
getGreen(pixels[row * 2][col * 2 + 1]) +
getGreen(pixels[row * 2 + 1][col * 2]) +
getGreen(pixels[row * 2][ col * 2])) / 4;
int averageBlue = (getBlue(pixels[row * 2 + 1][col * 2 + 1]) +
getBlue(pixels[row * 2][col * 2 + 1]) +
getBlue(pixels[row * 2 + 1][col * 2]) +
getBlue(pixels[row * 2][ col * 2])) / 4;
//Assign the average color intensities onto the corresponding pixel in output.
output[row][col] = makePixel(averageRed, averageGreen, averageBlue);
}
}
return output;
}
}
/*
Reduce the number of colors used in the image from millions to eight.
*/
class Threshold extends ImageEffect{
public Threshold() {
super();
params = new ArrayList<ImageEffectParam>();
params.add(new ImageEffectParam("Threshold",
"Set a minimum intensity threshold for each color to appear in the image.\n" +
"Minimum Threshold: 0\n" +
"Default Threshold: 127\n" +
"Maximum Threshold: 255",
127, 0, 255));
}
public int[][] apply(int[][] pixels, ArrayList<ImageEffectParam> params){
//threshold is minimum intensity threshold for each color to appear in the output.
final int threshold = params.get(0).getValue();
int[][] output = new int[pixels.length][pixels[0].length];
for(int row = 0; row < pixels.length; row++){
for(int col = 0; col < pixels[row].length; col++){
int thisPixel = pixels[row][col];
//isRed, isGreen, and isBlue are integer variables that determine whether each color should appear in the output.
int isRed = 0, isGreen = 0, isBlue = 0;
if(getRed(thisPixel) >= threshold){
isRed = 1;
}
if(getGreen(thisPixel) >= threshold){
isGreen = 1;
}
if(getBlue(thisPixel) >= threshold){
isBlue = 1;
}
//if isRed, isGreen, or isBlue is 1, the corresponding color intensity is 255.
//else if isRed, isGreen, or isBlue is 0, the corresponding color intensity is 0.
output[row][col] = makePixel(isRed * 255, isGreen * 255, isBlue * 255);
}
}
return output;
}
}
/*
Replace each pixel with the average pixel value of a small neighborhood.
*/
class Smooth extends ImageEffect{
public Smooth() {
super();
params = new ArrayList<ImageEffectParam>();
params.add(new ImageEffectParam("Neighborhood Radius",
"Set a radius for the neighborhood to be smoothened.\n" +
"Minimum Neighborhood Radius: 1\n" +
"Default Neighborhood Radius: 2\n" +
"Maximum Neighborhood Radius: 3",
2, 1, 3));
}
public int[][] apply(int[][] pixels, ArrayList<ImageEffectParam> params){
//neighborhoodRadius is the radius for the neighborhood to be smoothened.
final int neighborhoodRadius = params.get(0).getValue();
int[][] output = new int[pixels.length][pixels[0].length];
for(int row = 0; row < pixels.length; row++){
for(int col = 0; col < pixels[row].length; col++){
//averageRed, averageGreen, and averageBlue represent the average color intensity in the neighborhood.
int averageRed = 0, averageGreen = 0, averageBlue = 0;
int count = 0;
//i and j iterate in a nested for loop to evaluate each pixel within the specified neighborhood.
for(int i = -neighborhoodRadius; i <= neighborhoodRadius; i++){
for(int j = -neighborhoodRadius; j <= neighborhoodRadius; j++){
//Test to determine whether each pixel is within the bounds of the image.
if(0 <= row + i && row + i < pixels.length &&
0 <= col + j && col + j < pixels[row].length) {
int thisPixel = pixels[row + i][col + j];
averageRed += getRed(thisPixel);
averageGreen += getGreen(thisPixel);
averageBlue += getBlue(thisPixel);
count++;
}
}
}
averageRed /= count;
averageGreen /= count;
averageBlue /= count;
output[row][col] = makePixel(averageRed, averageGreen, averageBlue);
}
}
return output;
}
}
/*
Light pixels near dark pixels should be made lighter, and dark pixels near light pixels should be made darker.
*/
class Sharpen extends ImageEffect{
public Sharpen() {
super();
params = new ArrayList<ImageEffectParam>();
params.add(new ImageEffectParam("Neighborhood Radius",
"Set a radius for the neighborhood to be sharpened.\n" +
"Minimum Neighborhood Radius: 1\n" +
"Default Neighborhood Radius: 1\n" +
"Maximum Neighborhood Radius: 3",
1, 1, 3));
params.add(new ImageEffectParam("Sharpness Intensity",
"Set how much darker dark pixels should get,\n" +
"and how much lighter light pixels should get.\n" +
"Minimum Sharpness Intensity: 1\n" +
"Default Sharpness Intensity: 100\n" +
"Maximum Sharpness Intensity: 500",
100, 10, 500));
}
public int[][] apply(int[][] pixels, ArrayList<ImageEffectParam> params){
int[][] output = new int[pixels.length][pixels[0].length];
//neighborhoodRadius is the radius for the neighborhood to be sharpened.
final int neighborhoodRadius = params.get(0).getValue();
//sharpnessIntensity represents how much darker dark pixels should get,
//and how much lighter light pixels should get.
final int sharpnessIntensity = params.get(1).getValue();
for(int row = 0; row < pixels.length; row++){
for(int col = 0; col < pixels[row].length; col++){
//averageIntensity is the average intensity of every pixel within the neighborhood
int averageIntensity = 0;
int count = 0;
//i and j iterate in a nested for loop to evaluate each pixel within the specified neighborhood.
for(int i = -neighborhoodRadius; i <= neighborhoodRadius; i++){
for(int j = -neighborhoodRadius; j <= neighborhoodRadius; j++){
//Test to determine whether each pixel is within the bounds of the image.
if(0 <= row + i && row + i < pixels.length &&
0 <= col + j && col + j < pixels[row].length) {
averageIntensity += averageIntensity(pixels[row + i][col + j]);
count++;
}
}
}
averageIntensity /= count;
//Lighten the original pixel according to the difference between the
//average intensity of the neighborhood and of the pixel, and according to
//a factor of the sharpnessIntensity. This new pixel is assigned to the
//corresponding pixel in output.
output[row][col] = lighten(pixels[row][col],
(averageIntensity(pixels[row][col]) - averageIntensity) *
sharpnessIntensity / (float) 5000);
}
}
return output;
}
//Returns a new pixel for which each of the original color intensities are multiplied by sharpnessIntensity + 1.
private int lighten(int pixel, float sharpnessIntensity){
return makePixel(limitColor((int) (getRed(pixel) + sharpnessIntensity * getRed(pixel))),
limitColor((int) (getGreen(pixel) + sharpnessIntensity * getGreen(pixel))),
limitColor((int) (getBlue(pixel) + sharpnessIntensity * getBlue(pixel))));
}
//Returns an integer bounded below at 0 and above by 255.
private int limitColor(int color){
if (color > 255){
return 255;
} else if (color < 0) {
return 0;
}
return color;
}
//Returns the average intensity of the input pixel.
private int averageIntensity(int pixel) {
return (getRed(pixel) + getGreen(pixel) + getBlue(pixel)) / 3;
}
}
/*
Each pixel is replaced with a light pixel if it came from a neighborhood of high contrast,
or replaced with a dark pixel if it came from a neighborhood of low contrast.
*/
class HighlightEdges extends ImageEffect{
public HighlightEdges() {
super();
params = new ArrayList<ImageEffectParam>();
params.add(new ImageEffectParam("Neighborhood Radius",
"Set a radius for the neighborhood to be highlighted.\n" +
"Minimum Neighborhood Radius: 1\n" +
"Default Neighborhood Radius: 3\n" +
"Maximum Neighborhood Radius: 3",
3, 1, 3));
params.add(new ImageEffectParam("Highlight Intensity",
"Set how dark pixels from low contrast neighborhoods should get,\n" +
"and how light pixels from high contrast neighborhoods should get.\n" +
"Minimum Highlight Intensity: 1\n" +
"Default Highlight Intensity: 100\n" +
"Maximum Highlight Intensity: 500",
100, 1, 500));
params.add(new ImageEffectParam("Threshold",
"Set the threshold difference of pixel and neighborhood intensity\n" +
"at which pixels cease to be lighter and start to be darker.\n" +
"Minimum Threshold: 1\n" +
"Default Threshold: 20\n" +
"Maximum Threshold: 100",
20, 1, 100));
}
public int[][] apply(int[][] pixels, ArrayList<ImageEffectParam> params){
int[][] output = new int[pixels.length][pixels[0].length];
//neighborhoodRadius is the radius for the neighborhood to be highlighted.
final int neighborhoodRadius = params.get(0).getValue();
//highlightIntensity is how dark pixels from low contrast neighborhoods should get,
//and how light pixels from high contrast neighborhoods should get.
final int highlightIntensity = params.get(1).getValue();
//threshold is the threshold difference of pixel and neighborhood intensity
//at which pixels cease to be lighter and start to be darker.
final int threshold = params.get(2).getValue();
for(int row = 0; row < pixels.length; row++){
for(int col = 0; col < pixels[row].length; col++){
//averageIntensity is the average intensity of every pixel within the neighborhood
int averageIntensity = 0;
int count = 0;
//i and j iterate in a nested for loop to evaluate each pixel within the specified neighborhood.
for(int i = -neighborhoodRadius; i <= neighborhoodRadius; i++){
for(int j = -neighborhoodRadius; j <= neighborhoodRadius; j++){
//Test to determine whether each pixel is within the bounds of the image.
if(0 <= row + i && row + i < pixels.length &&
0 <= col + j && col + j < pixels[row].length) {
averageIntensity += averageIntensity(pixels[row + i][col + j]);
count++;
}
}
}
averageIntensity /= count;
//Lighten the original pixel according to the absolute value of the
//difference between the average intensity of the neighborhood and of
//the pixel, minus the threshold, and according to a factor of the
//sharpnessIntensity. This new pixel is assigned to the corresponding
//pixel in output.
output[row][col] = lighten(pixels[row][col],
(Math.abs(averageIntensity(pixels[row][col]) - averageIntensity) - threshold) *
highlightIntensity / (float) 5000);
}
}
return output;
}
//Returns a new pixel for which each of the original color intensities are multiplied by sharpnessIntensity + 1.
private int lighten(int pixel, float highlightIntensity){
return makePixel(limitColor((int) (getRed(pixel) + highlightIntensity * getRed(pixel))),
limitColor((int) (getGreen(pixel) + highlightIntensity * getGreen(pixel))),
limitColor((int) (getBlue(pixel) + highlightIntensity * getBlue(pixel))));
}
//Returns an integer bounded below at 0 and above by 255.
private int limitColor(int color){
if (color > 255){
return 255;
} else if (color < 0) {
return 0;
}
return color;
}
//Returns the average intensity of the input pixel.
private int averageIntensity(int pixel) {
return (getRed(pixel) + getGreen(pixel) + getBlue(pixel)) / 3;
}
}
/*
Replace each pixel with the median pixel value of a small neighborhood.
*/
class DeNoise extends ImageEffect{
public DeNoise() {
super();
params = new ArrayList<ImageEffectParam>();
params.add(new ImageEffectParam("Neighborhood Radius",
"Set a radius for the neighborhood to be analyzed.\n" +
"Minimum Neighborhood Radius: 1\n" +
"Default Neighborhood Radius: 1\n" +
"Maximum Neighborhood Radius: 3",
1, 1, 3));
}
public int[][] apply(int[][] pixels, ArrayList<ImageEffectParam> params){
int[][] output = new int[pixels.length][pixels[0].length];
//neighborhoodRadius is the radius for the neighborhood to be analyzed.
final int neighborhoodRadius = params.get(0).getValue();
for(int row = 0; row < pixels.length; row++){
for(int col = 0; col < pixels[row].length; col++){
//redValues, greenValues, and blueValues are ArrayLists that store
//the value of each color intensity in each pixel in the neighborhood
ArrayList<Integer> redValues = new ArrayList<Integer>();
ArrayList<Integer> greenValues = new ArrayList<Integer>();
ArrayList<Integer> blueValues = new ArrayList<Integer>();
//i and j iterate in a nested for loop to evaluate each pixel within the specified neighborhood.
for(int i = -neighborhoodRadius; i <= neighborhoodRadius; i++){
for(int j = -neighborhoodRadius; j <= neighborhoodRadius; j++){
//Test to determine whether each pixel is within the bounds of the image.
if(0 <= row + i && row + i < pixels.length &&
0 <= col + j && col + j < pixels[row].length) {
int thisPixel = pixels[row + i][col + j];
redValues.add(getRed(thisPixel));
greenValues.add(getGreen(thisPixel));
blueValues.add(getBlue(thisPixel));
}
}
}
//Assign the median of each color in the neighborhood onto the corresponding pixel in output
output[row][col] = makePixel(getMedianValue(redValues),
getMedianValue(greenValues),
getMedianValue(blueValues));
}
}
return output;
}
//Use recursion to return the median value of an ArrayList of Integers
private int getMedianValue(ArrayList<Integer> input){
if(input.size() == 0) {
return 0;
} else if(input.size() == 1){
return input.get(0);
} else if (input.size() == 2) {
return (input.get(0) + input.get(1)) / 2;
}
int min = input.get(0);
int minIndex = 0;
int max = input.get(0);
int maxIndex = 0;
ArrayList<Integer> output = new ArrayList<Integer>();
for(int i = 0; i < input.size(); i++){
output.add(input.get(i));
if(input.get(i) < min){
min = input.get(i);
minIndex = i;
} else if(input.get(i) > max){
max = input.get(i);
maxIndex = i;
}
}
output.remove(minIndex);
if (minIndex < maxIndex) {
output.remove(maxIndex - 1);
} else {
output.remove(maxIndex);
}
return getMedianValue(output);
}
}
/*
Replace each pixel with the minimum pixel value of a small neighborhood.
*/
class Erode extends ImageEffect{
public Erode() {
super();
params = new ArrayList<ImageEffectParam>();
params.add(new ImageEffectParam("Neighborhood Radius",
"Set a radius for the neighborhood to be highlighted.\n" +
"Minimum Neighborhood Radius: 1\n" +
"Default Neighborhood Radius: 1\n" +
"Maximum Neighborhood Radius: 3",
1, 1, 3));
}
public int[][] apply(int[][] pixels, ArrayList<ImageEffectParam> params){
int[][] output = new int[pixels.length][pixels[0].length];
//neighborhoodRadius is the radius for the neighborhood to be analyzed.
final int neighborhoodRadius = params.get(0).getValue();
for(int row = 0; row < pixels.length; row++){
for(int col = 0; col < pixels[row].length; col++){
//minRed, minGreen, and minBlue are the minimum intensities of the corresponding color in the neighborhood.
int minRed = getRed(pixels[row][col]);
int minGreen = getGreen(pixels[row][col]);
int minBlue = getBlue(pixels[row][col]);
//i and j iterate in a nested for loop to evaluate each pixel within the specified neighborhood.
for(int i = -neighborhoodRadius; i <= neighborhoodRadius; i++){
for(int j = -neighborhoodRadius; j <= neighborhoodRadius; j++){
//Test to determine whether each pixel is within the bounds of the image.
if(0 <= row + i && row + i < pixels.length &&
0 <= col + j && col + j < pixels[row].length) {
int thisPixel = pixels[row + i][col + j];
if(getRed(thisPixel) < minRed) {
minRed = getRed(thisPixel);
}
if(getGreen(thisPixel) < minGreen) {
minGreen = getGreen(thisPixel);
}
if(getBlue(thisPixel) < minBlue) {
minBlue = getBlue(thisPixel);
}
}
}
}
//Assign the minimum of each color in the neighborhood onto the corresponding pixel in output
output[row][col] = makePixel(minRed, minGreen, minBlue);
}
}
return output;
}
}
class Dilate extends ImageEffect{
public Dilate() {
super();
params = new ArrayList<ImageEffectParam>();
params.add(new ImageEffectParam("Neighborhood Radius",
"Set a radius for the neighborhood to be highlighted.\n" +
"Minimum Neighborhood Radius: 1\n" +
"Default Neighborhood Radius: 1\n" +
"Maximum Neighborhood Radius: 3",
1, 1, 3));
}
public int[][] apply(int[][] pixels, ArrayList<ImageEffectParam> params){
int[][] output = new int[pixels.length][pixels[0].length];
//neighborhoodRadius is the radius for the neighborhood to be analyzed.
final int neighborhoodRadius = params.get(0).getValue();
for(int row = 0; row < pixels.length; row++){
for(int col = 0; col < pixels[row].length; col++){
//maxRed, maxGreen, and maxBlue are the minimum intensities of the corresponding color in the neighborhood.
int maxRed = getRed(pixels[row][col]);
int maxGreen = getGreen(pixels[row][col]);
int maxBlue = getBlue(pixels[row][col]);
//i and j iterate in a nested for loop to evaluate each pixel within the specified neighborhood.
for(int i = -neighborhoodRadius; i <= neighborhoodRadius; i++){
for(int j = -neighborhoodRadius; j <= neighborhoodRadius; j++){
//Test to determine whether each pixel is within the bounds of the image.
if(0 <= row + i && row + i < pixels.length &&
0 <= col + j && col + j < pixels[row].length) {
int thisPixel = pixels[row + i][col + j];
if(getRed(thisPixel) > maxRed) {
maxRed = getRed(thisPixel);
}
if(getGreen(thisPixel) > maxGreen) {
maxGreen = getGreen(thisPixel);
}
if(getBlue(thisPixel) > maxBlue) {
maxBlue = getBlue(thisPixel);
}
}
}
}
//Assign the maximum of each color in the neighborhood onto the corresponding pixel in output
output[row][col] = makePixel(maxRed, maxGreen, maxBlue);
}
}
return output;
}
}
/*
Turn a color image into a black and white image, with a red tint in areas where red intensity is greatest.
*/
class BlackAndWhiteWithRedTint extends ImageEffect {
public int[][] apply(int[][] pixels, ArrayList<ImageEffectParam> params){
for(int row = 0; row < pixels.length; row++){
for(int col = 0; col < pixels[row].length; col++){
int thisPixel = pixels[row][col];
//Compute the average intensity of the three colors.
int averageIntensity = (getRed(thisPixel) + getGreen(thisPixel) + getBlue(thisPixel)) / 3;
if(getRed(thisPixel) >= averageIntensity) {
//This pixel will have a red tint
pixels[row][col] = makePixel(getRed(thisPixel), averageIntensity, averageIntensity);
} else {
//Set red, green, and blue to the average intensity of the pixel.
//This pixel will be a grayscale pixel.
pixels[row][col] = makePixel(averageIntensity, averageIntensity, averageIntensity);
}
}
}
return pixels;
}
}
/*
Turn a color image into a black and white image, with a green tint in areas where green intensity is greatest.
*/
class BlackAndWhiteWithGreenTint extends ImageEffect {
public int[][] apply(int[][] pixels, ArrayList<ImageEffectParam> params){
for(int row = 0; row < pixels.length; row++){
for(int col = 0; col < pixels[row].length; col++){
int thisPixel = pixels[row][col];
//Compute the average intensity of the three colors.
int averageIntensity = (getRed(thisPixel) + getGreen(thisPixel) + getBlue(thisPixel)) / 3;
if(getGreen(thisPixel) >= averageIntensity) {
//This pixel will have a green tint
pixels[row][col] = makePixel(averageIntensity, getGreen(thisPixel), averageIntensity);
} else {
//Set red, green, and blue to the average intensity of the pixel.
//This pixel will be a grayscale pixel.
pixels[row][col] = makePixel(averageIntensity, averageIntensity, averageIntensity);
}
}
}
return pixels;
}
}
/*
Turn a color image into a black and white image, with a blue tint in areas where blue intensity is greatest.
*/
class BlackAndWhiteWithBlueTint extends ImageEffect {
public int[][] apply(int[][] pixels, ArrayList<ImageEffectParam> params){
for(int row = 0; row < pixels.length; row++){
for(int col = 0; col < pixels[row].length; col++){
int thisPixel = pixels[row][col];
//Compute the average intensity of the three colors.
int averageIntensity = (getRed(thisPixel) + getGreen(thisPixel) + getBlue(thisPixel)) / 3;
if(getBlue(thisPixel) >= averageIntensity) {
//This pixel will have a red tint
pixels[row][col] = makePixel(averageIntensity, averageIntensity, getBlue(thisPixel));
} else {
//Set red, green, and blue to the average intensity of the pixel.
//This pixel will be a grayscale pixel.
pixels[row][col] = makePixel(averageIntensity, averageIntensity, averageIntensity);
}
}
}
return pixels;
}
}
/*
Turn a color image into a black and white image, with a tint in areas where specific color intensity is greatest.
*/
class BlackAndWhiteWithRGBTint extends ImageEffect {
public int[][] apply(int[][] pixels, ArrayList<ImageEffectParam> params){
for(int row = 0; row < pixels.length; row++){
for(int col = 0; col < pixels[row].length; col++){
int thisPixel = pixels[row][col];
//Compute the average intensity of the three colors.
int averageIntensity = (getRed(thisPixel) + getGreen(thisPixel) + getBlue(thisPixel)) / 3;
if(getRed(thisPixel) > getGreen(thisPixel) &&
getRed(thisPixel) > getBlue(thisPixel)) {
//This pixel will have a red tint
pixels[row][col] = makePixel(getRed(thisPixel), averageIntensity, averageIntensity);
} else if(getGreen(thisPixel) > getRed(thisPixel) &&
getGreen(thisPixel) > getBlue(thisPixel)) {
//This pixel will have a green tint
pixels[row][col] = makePixel(averageIntensity, getGreen(thisPixel), averageIntensity);
} else if(getBlue(thisPixel) > getRed(thisPixel) &&
getBlue(thisPixel) > getGreen(thisPixel)) {
//This pixel will have a blue tint
pixels[row][col] = makePixel(averageIntensity, averageIntensity, getBlue(thisPixel));
} else {
//Set red, green, and blue to the average intensity of the pixel.
//This pixel will be a grayscale pixel.
pixels[row][col] = makePixel(averageIntensity, averageIntensity, averageIntensity);
}
}
}
return pixels;
}
}
/*
Trace dark pixels in high contrast to be pure black, similar to an ink drawing.
*/
class Trace extends ImageEffect{
public Trace() {
super();
params = new ArrayList<ImageEffectParam>();
params.add(new ImageEffectParam("Neighborhood Radius",
"Set a radius for the neighborhood to be traced.\n" +
"Minimum Neighborhood Radius: 1\n" +
"Default Neighborhood Radius: 3\n" +
"Maximum Neighborhood Radius: 3",
3, 1, 3));
params.add(new ImageEffectParam("Threshold",
"Set the threshold difference of pixel and neighborhood intensity\n" +
"at which pixels are traced.\n" +
"Minimum Threshold: 1\n" +
"Default Threshold: 20\n" +
"Maximum Threshold: 100",
20, 1, 100));
}
public int[][] apply(int[][] pixels, ArrayList<ImageEffectParam> params){
int[][] output = new int[pixels.length][pixels[0].length];
//neighborhoodRadius is the radius for the neighborhood to be traced.
final int neighborhoodRadius = params.get(0).getValue();
//threshold is the threshold difference of pixel and neighborhood intensity
//at which pixels are traced.
final int threshold = params.get(1).getValue();
for(int row = 0; row < pixels.length; row++){
for(int col = 0; col < pixels[row].length; col++){
//averageIntensity is the average intensity of every pixel within the neighborhood
int averageIntensity = 0;
int count = 0;
//i and j iterate in a nested for loop to evaluate each pixel within the specified neighborhood.
for(int i = -neighborhoodRadius; i <= neighborhoodRadius; i++){
for(int j = -neighborhoodRadius; j <= neighborhoodRadius; j++){
//Test to determine whether each pixel is within the bounds of the image.
if(0 <= row + i && row + i < pixels.length &&
0 <= col + j && col + j < pixels[row].length) {
averageIntensity += averageIntensity(pixels[row + i][col + j]);
count++;
}
}
}
averageIntensity /= count;
//If the selected pixel is dark enough relative to its neighborhood, it is outputted as black.
if(averageIntensity - averageIntensity(pixels[row][col]) >= threshold) {
output[row][col] = makePixel(0, 0, 0);
//Else, it is outputted as white.
} else {
output[row][col] = makePixel(255, 255, 255);
}
}
}
return output;
}
//Returns the average intensity of the input pixel.
private int averageIntensity(int pixel) {
return (getRed(pixel) + getGreen(pixel) + getBlue(pixel)) / 3;
}
}
/*
Trace dark pixels in high contrast to be pure black, similar to an ink drawing, over the original image.
*/
class TraceOverImage extends ImageEffect{
public TraceOverImage() {
super();
params = new ArrayList<ImageEffectParam>();
params.add(new ImageEffectParam("Neighborhood Radius",
"Set a radius for the neighborhood to be traced.\n" +
"Minimum Neighborhood Radius: 1\n" +
"Default Neighborhood Radius: 3\n" +
"Maximum Neighborhood Radius: 3",
3, 1, 3));
params.add(new ImageEffectParam("Threshold",
"Set the threshold difference of pixel and neighborhood intensity\n" +
"at which pixels are traced.\n" +
"Minimum Threshold: 1\n" +
"Default Threshold: 20\n" +
"Maximum Threshold: 100",
20, 1, 100));
}
public int[][] apply(int[][] pixels, ArrayList<ImageEffectParam> params){
int[][] output = new int[pixels.length][pixels[0].length];
//neighborhoodRadius is the radius for the neighborhood to be traced.
final int neighborhoodRadius = params.get(0).getValue();
//threshold is the threshold difference of pixel and neighborhood intensity
//at which pixels are traced.
final int threshold = params.get(1).getValue();
for(int row = 0; row < pixels.length; row++){
for(int col = 0; col < pixels[row].length; col++){
//averageIntensity is the average intensity of every pixel within the neighborhood
int averageIntensity = 0;