गाऊशियन ब्लर को लागू करने के लिए कोड निम्नलिखित हैं। यह आप
import android.graphics.Bitmap;
import android.graphics.Matrix;
/**
* @author robert.hinds
*
* Wrapper class for the Android Bitmap - used by all filters
*
*/
public class AndroidImage {
//original bitmap image
private Bitmap image;
//format of image (jpg/png)
private String formatName;
//dimensions of image
private int width, height;
// RGB Array Color
protected int[] colourArray;
public AndroidImage(Bitmap img){
this.image = img;
formatName = "jpg";
width = img.getWidth();
height = img.getHeight();
updateColourArray();
}
/**
* Method to reset the image to a solid colour
*
* @param color - colour to rest the entire image to
*/
public void clearImage(int color){
for(int y=0; y<height; y++){
for(int x=0; x<width; x++){
image.setPixel(x, y, color);
}
}
}
/**
* Set colour array for image - called on initialisation
* by constructor
*
* @param bitmap
*/
private void updateColourArray(){
colourArray = new int[width * height];
image.getPixels(colourArray, 0, width, 0, 0, width, height);
int r, g, b;
for (int y = 0; y < height; y++){
for (int x = 0; x < width; x++){
int index = y * width + x;
r = (colourArray[index] >> 16) & 0xff;
g = (colourArray[index] >> 8) & 0xff;
b = colourArray[index] & 0xff;
colourArray[index] = 0xff000000 | (r << 16) | (g << 8) | b;
}
}
}
/**
* Method to set the colour of a specific pixel
*
* @param x
* @param y
* @param colour
*/
public void setPixelColour(int x, int y, int colour){
colourArray[((y*image.getWidth()+x))] = colour;
image.setPixel(x, y, colour);
}
/**
* Get the colour for a specified pixel
*
* @param x
* @param y
* @return colour
*/
public int getPixelColour(int x, int y){
return colourArray[y*width+x];
}
/**
* Set the colour of a specified pixel from an RGB combo
*
* @param x
* @param y
* @param c0
* @param c1
* @param c2
*/
public void setPixelColour(int x, int y, int c0, int c1, int c2){
colourArray[((y*image.getWidth()+x))] = (255 << 24) + (c0 << 16) + (c1 << 8) + c2;
image.setPixel(x, y, colourArray[((y*image.getWidth()+x))]);
}
/**
* Method to get the RED colour for the specified
* pixel
* @param x
* @param y
* @return colour of R
*/
public int getRComponent(int x, int y){
return (getColourArray()[((y*width+x))]& 0x00FF0000) >>> 16;
}
/**
* Method to get the GREEN colour for the specified
* pixel
* @param x
* @param y
* @return colour of G
*/
public int getGComponent(int x, int y){
return (getColourArray()[((y*width+x))]& 0x0000FF00) >>> 8;
}
/**
* Method to get the BLUE colour for the specified
* pixel
* @param x
* @param y
* @return colour of B
*/
public int getBComponent(int x, int y){
return (getColourArray()[((y*width+x))] & 0x000000FF);
}
/**
* Method to rotate an image by the specified number of degrees
*
* @param rotateDegrees
*/
public void rotate (int rotateDegrees){
Matrix mtx = new Matrix();
mtx.postRotate(rotateDegrees);
image = Bitmap.createBitmap(image, 0, 0, width, height, mtx, true);
width = image.getWidth();
height = image.getHeight();
updateColourArray();
}
/**
* @return the image
*/
public Bitmap getImage() {
return image;
}
/**
* @param image the image to set
*/
public void setImage(Bitmap image) {
this.image = image;
}
/**
* @return the formatName
*/
public String getFormatName() {
return formatName;
}
/**
* @param formatName the formatName to set
*/
public void setFormatName(String formatName) {
this.formatName = formatName;
}
/**
* @return the width
*/
public int getWidth() {
return width;
}
/**
* @param width the width to set
*/
public void setWidth(int width) {
this.width = width;
}
/**
* @return the height
*/
public int getHeight() {
return height;
}
/**
* @param height the height to set
*/
public void setHeight(int height) {
this.height = height;
}
/**
* @return the colourArray
*/
public int[] getColourArray() {
return colourArray;
}
/**
* @param colourArray the colourArray to set
*/
public void setColourArray(int[] colourArray) {
this.colourArray = colourArray;
}
}
import com.bvise.fotoflipper.core.AndroidImage;
public interface IAndroidFilter {
public AndroidImage process(AndroidImage imageIn);
}
import android.graphics.Bitmap;
import android.graphics.Color;
public class ConvolutionMatrix
{
public static final int SIZE = 3;
public double[][] Matrix;
public double Factor = 1;
public double Offset = 1;
public ConvolutionMatrix(int size) {
Matrix = new double[size][size];
}
public void setAll(double value) {
for (int x = 0; x < SIZE; ++x) {
for (int y = 0; y < SIZE; ++y) {
Matrix[x][y] = value;
}
}
}
public void applyConfig(double[][] config) {
for(int x = 0; x < SIZE; ++x) {
for(int y = 0; y < SIZE; ++y) {
Matrix[x][y] = config[x][y];
}
}
}
public static Bitmap computeConvolution3x3(Bitmap src, ConvolutionMatrix matrix) {
int width = src.getWidth();
int height = src.getHeight();
Bitmap result = Bitmap.createBitmap(width, height, src.getConfig());
int A, R, G, B;
int sumR, sumG, sumB;
int[][] pixels = new int[SIZE][SIZE];
for(int y = 0; y < height - 2; ++y) {
for(int x = 0; x < width - 2; ++x) {
// get pixel matrix
for(int i = 0; i < SIZE; ++i) {
for(int j = 0; j < SIZE; ++j) {
pixels[i][j] = src.getPixel(x + i, y + j);
}
}
// get alpha of center pixel
A = Color.alpha(pixels[1][1]);
// init color sum
sumR = sumG = sumB = 0;
// get sum of RGB on matrix
for(int i = 0; i < SIZE; ++i) {
for(int j = 0; j < SIZE; ++j) {
sumR += (Color.red(pixels[i][j]) * matrix.Matrix[i][j]);
sumG += (Color.green(pixels[i][j]) * matrix.Matrix[i][j]);
sumB += (Color.blue(pixels[i][j]) * matrix.Matrix[i][j]);
}
}
// get final Red
R = (int)(sumR/matrix.Factor + matrix.Offset);
if(R < 0) { R = 0; }
else if(R > 255) { R = 255; }
// get final Green
G = (int)(sumG/matrix.Factor + matrix.Offset);
if(G < 0) { G = 0; }
else if(G > 255) { G = 255; }
// get final Blue
B = (int)(sumB/matrix.Factor + matrix.Offset);
if(B < 0) { B = 0; }
else if(B > 255) { B = 255; }
// apply new pixel
result.setPixel(x + 1, y + 1, Color.argb(A, R, G, B));
}
}
// final image
return result;
}
}
import android.graphics.Bitmap;
import com.bvise.fotoflipper.core.AndroidImage;
import com.bvise.fotoflipper.core.ConvolutionMatrix;
import com.bvise.fotoflipper.filters.IAndroidFilter;
public class GaussianBlur implements IAndroidFilter{
@Override
public AndroidImage process(AndroidImage imageIn) {
// TODO Auto-generated method stub
Bitmap src=imageIn.getImage();
double[][] GaussianBlurConfig = new double[][] {
{ 1, 2, 1 },
{ 2, 4, 2 },
{ 1, 2, 1 }
};
ConvolutionMatrix convMatrix = new ConvolutionMatrix(3);
convMatrix.applyConfig(GaussianBlurConfig);
convMatrix.Factor = 200;
convMatrix.Offset = 0;
return new AndroidImage(ConvolutionMatrix.computeConvolution3x3(src, convMatrix));
}
}
क्या आपने http://stackoverflow.com/a/2068981/1204134 पर देखा है? मुझे पता है कि यह एक गाऊशियन धुंध नहीं है, लेकिन यह काम कर सकता है। –
मुझे नहीं पता कि बिटमैप्स पर गाऊशियन ब्लर करने का कोई आसान तरीका है या नहीं। लेकिन अगर आप एक ऐप से निपट रहे हैं जो बहुत सारी छवि प्रसंस्करण करने जा रहा है, तो मेरा सुझाव है कि आप एंड्रॉइड के लिए ओपनसीवी का उपयोग करें। –
मैंने @AlexJuanGittemeier के उत्तर का उपयोग किया, बहुत तेज है, ~ 250ms एक दर्शक में .. अभी भी स्मृति उपयोग का परीक्षण – CQM