Tutorials
As I’m learning and working on Google Android, I’ll post my notes as tutorials for others to learn also.
[Android: The Basics]
3. Create a simple application grid
4. Create an Application Launcher (using a ListView)
5. Playing with Toast message notification
7. SQLite on Android – Part II
8. SQLite on Android – Part III (Final)
9. Load SQLite Database on Emulator
10. Create and use custom Content Provider
12. Create & use emulated SD Card
13. A Quick Study on MP3 file structure
14. Parsing MP3 Basic Information
15. Query MP3 Information using Android MediaMetadataRetriever
16. Create and use Compound Control
17. Create an application auto receiving new message (SMS)
18. Bitmap and memory leak! – Part I
19. Bitmap and memory leak! – Part II
20. Bitmap and memory leak! – Part III
22. Using WebView as a Image Zoom View control
23. Controlling the Airplane Mode
24. Store and use files in Assets
25. New Cache for Better Memory Performance
26. Create a Service that does a schedule task
27. Guide to create, build and sign Android applications (using command)
28. Build ViewPagerIndicator with Ant
29. Create application with Swipe gesture to navigate page like Google Play
[ Android: Image Processing ]
1. Image Processing – Highlight Image on the fly
2. Image Processing – Invert Image on the fly
3. Image Processing – Grayscale Image on the fly
4. Image Processing – Gamma Correction on the fly
5. Image Processing – Filter Image Color
6. Image Processing – Photography Sepia-toning Effect
7. Image Processing – Decreasing Color Depth
8. Image Processing – Contrast Image on the fly
9. Image Processing – Rotate Image on the fly
10. Image Processing – Image Brightness
11. Image Processing – Convolution Matrix from Concepts to Implementation
12. Image Processing – Gaussian Blur effect
13. Image Processing – Sharpening Image
14. Image Processing – Mean Removal effect
15. Image Processing – Smooth effect
16. Image Processing – Emboss effect
17. Image Processing – Engraving effect
18. Image Processing – Boost up color intensity
19. Image Processing – Rounded Corner Image
20. Image Processing – Watermarking on the fly
21. Image Processing – Image Flipping / Mirroring
22. Image Processing – Pixel Color Replacement
23. Image Processing – Tint Color (Yet Another)
24. Image Processing – Flea / Noise Effect
25. Image Processing – Black Filter (Increasing the Darkness)
26. Image Processing – Snow Effect
27. Image Processing – Shading Filter
28. Image Processing – Saturation Filter
29. Image Processing – Hue Filter
30. Image Processing – Image Reflection Effect
31. Image Processing – Draw Text on a Curve
[ Series – Android XML Adventure]
1. What is the “Thing” called XML?
2. Parsing XML Data with SAX-Parser
4. Parsing XML Data with XmlPullParser
8. Parse HTML using HtmlCleaner
Hope you enjoy it.
Cheers,
Pete Houston
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[ Android Newbie ] 
Great Post. Thank for this information. katmoviehd Apk
Thanks Sir
The post office is always out of tge way for me. Bleh! I need to check it too, ah!
i want to use warp camera effects but i am not able to do this. please any one help me.
Can any one help me i want to crop face from the image but not in oval or rectangle .
Amazing! Іtѕ genuinely amazing post, Ι
havｅ got much clｅaг idea on tһe topic ⲟf
from this paragraph.
good
pls add tutorial of using frames with images
Nice image processing tutorial highly recommend.
Useful tutorials.. Is there any tutorial to draw same size of circles on imageview with x,y coordinates?
Big fan of yours….salute…nice tutorial
Give me some solution about HDR integration in to custom camera and in some device camera capture very blurry image so give me some solution about it
bro you need to apply manual Focus for this 🙂 its really late but hope so it will Gonna Help
See This Method Its Working For Me ///
public boolean startManualFocus(View view, MotionEvent motionEvent) {
Log.d(TAG, “startManualFocus: called”);
if (mManualFocusEngaged) {
Log.d(TAG, “startManualFocus: Manual focus already engaged”);
return true;
}
if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.LOLLIPOP) {
CameraManager manager = (CameraManager) getActivity().getSystemService(Context.CAMERA_SERVICE);
CameraCharacteristics characteristics = null;
try {
characteristics = manager.getCameraCharacteristics(mCameraId);
final Rect sensorArraySize = characteristics.get(CameraCharacteristics.SENSOR_INFO_ACTIVE_ARRAY_SIZE);
final int y = (int) ((motionEvent.getX() / (float) view.getWidth()) * (float) sensorArraySize.height());
final int x = (int) ((motionEvent.getY() / (float) view.getHeight()) * (float) sensorArraySize.width());
final int halfTouchWidth = 150;
final int halfTouchHeight = 150;
MeteringRectangle focusAreaTouch = new MeteringRectangle(
Math.max(x – halfTouchWidth, 0),
Math.max(y – halfTouchHeight, 0),
halfTouchWidth * 2,
halfTouchHeight * 2,
MeteringRectangle.METERING_WEIGHT_MAX – 1);
CameraCaptureSession.CaptureCallback captureCallbackHandler = new CameraCaptureSession.CaptureCallback() {
@Override
public void onCaptureCompleted(CameraCaptureSession session, CaptureRequest request, TotalCaptureResult result) {
super.onCaptureCompleted(session, request, result);
mManualFocusEngaged = false;
if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.LOLLIPOP) {
if (request.getTag() == “FOCUS_TAG”) {
//the focus trigger is complete –
//resume repeating (preview surface will get frames), clear AF trigger
mPreviewRequestBuilder.set(CaptureRequest.CONTROL_AF_TRIGGER, null);
// reset to get ready to capture a picture
try {
mCaptureSession.setRepeatingRequest(mPreviewRequestBuilder.build(), mCaptureCallback, mBackgroundHandler);
} catch (CameraAccessException e) {
e.printStackTrace();
}
}
}
}
@Override
public void onCaptureFailed(CameraCaptureSession session, CaptureRequest request, CaptureFailure failure) {
super.onCaptureFailed(session, request, failure);
Log.e(TAG, “startManualFocus: Manual AF failure: ” + failure);
mManualFocusEngaged = false;
}
};
if (mCaptureSession != null) {
//first stop the existing repeating request
mCaptureSession.stopRepeating();
//cancel any existing AF trigger (repeated touches, etc.)
mPreviewRequestBuilder.set(CaptureRequest.CONTROL_AF_TRIGGER, CameraMetadata.CONTROL_AF_TRIGGER_CANCEL);
mPreviewRequestBuilder.set(CaptureRequest.CONTROL_AF_MODE, CaptureRequest.CONTROL_AF_MODE_OFF);
mCaptureSession.capture(mPreviewRequestBuilder.build(), captureCallbackHandler, mBackgroundHandler);
//Now add a new AF trigger with focus region
if (isMeteringAreaAFSupported()) {
mPreviewRequestBuilder.set(CaptureRequest.CONTROL_AF_REGIONS, new MeteringRectangle[]{focusAreaTouch});
}
mPreviewRequestBuilder.set(CaptureRequest.CONTROL_MODE, CameraMetadata.CONTROL_MODE_AUTO);
mPreviewRequestBuilder.set(CaptureRequest.CONTROL_AF_MODE, CaptureRequest.CONTROL_AF_MODE_AUTO);
mPreviewRequestBuilder.set(CaptureRequest.CONTROL_AF_TRIGGER, CameraMetadata.CONTROL_AF_TRIGGER_START);
mPreviewRequestBuilder.setTag(“FOCUS_TAG”); //we’ll capture this later for resuming the preview
//then we ask for a single request (not repeating!)
mCaptureSession.capture(mPreviewRequestBuilder.build(), captureCallbackHandler, mBackgroundHandler);
mManualFocusEngaged = true;
}
} catch (CameraAccessException e) {
e.printStackTrace();
return true;
}
return true;
}
return false;
}
// Now Call This Method in onTouch like Below
@Override
public boolean onTouch(View view, MotionEvent motionEvent) {
switch (motionEvent.getAction()) {
case MotionEvent.ACTION_DOWN: {
startX = motionEvent.getX();
startY = motionEvent.getY();
break;
}
case MotionEvent.ACTION_UP: {
float endX = motionEvent.getX();
float endY = motionEvent.getY();
if (isAClick(startX, endX, startY, endY)) {
if (view.getId() == R.id.texture && view.getId() != R.id.stillshot) {
Log.d(TAG, “onTouch: MANUAL FOCUS.”);
startManualFocus(view, motionEvent);
}
}
break;
}
case MotionEvent.ACTION_MOVE: {
break;
}
}
if (mIsImageAvailable) {
Log.d(TAG, “onTouch: sending touch event to DrawableImageView”);
return mStillshotImageView.touchEvent(motionEvent);
} else {
Log.d(TAG, “onTouch: ZOOM.”);
return mTextureView.onTouch(motionEvent);
}
// if (mIsImageAvailable && mIsDrawingEnabled){
// return mStillshotImageView.touchEvent(motionEvent);
// }
// return true;
}
http://sh.st/V70t5
Hi , Am new to android. Creating an app which require multiple images to be convert in a video or say slide show with effect and sound. Please us know how do that ? Thanks
Hi ,
i am making a drawing app. I am able to implement drawing on a white canvas and save it in memory by making customView. Now i want to load the saved image into the canvas to redraw on that. I am setting the image but it is always showing white canvas. Please help.
Hey can you give a tutorial on histogram equalization?
Nice set of tutorials man….i like it …. 😛
Hi.
I want to put an image over another image. Can you please help me out how can i do that
Hii Image Processing Tutorial is best for beginner.
I am developing an app on Gesture detection (swipe down,swipe up, left,right). But i want use custom gesture, is that any help..
Very good tutorial
Thanks Thanks Thanks
Good~!!
Hi…can any one tell me the android implementation for color base image segmentation please???
hiii… can you post sketch effect for a image.
can any body help me in fashion advisor project ?? statue wear dresses
Hi
Nice tutorial,
Can help me out in implementing more effects like Tue, Aqua, Ventura, Laguna, Soft Focus, etc. and adding frame effect etc.
Thanks in advance
Awesome tutorials buddy … thx
i’m very much obliged to you
hey it doesnt work with png extension . it works for jpg. can u please help me in this regard. thanks in advance
Also for kitkat and jellybean versions. it doesnt show any transformations after editing . please help
Nice tutorial ….. 🙂
Hi, I got I needed for the Image Detailing…
Can you help me I want to apply the HDR Color Filter.
did you get the solution ???
Hi, I have learned so much thing from the Image Processing Tuts:
and that was quite intensive. thanks man
I am not able to find increase/decrease the Image details. and Also apply the temperature filter. plz help.
That’s a whole lot of tutorial you’ve compiled there. Will take some time to check them. Kudos!
Hi, I need to do image processing to remove a certain pattern from a bitmap. Could you please help me with this?
Hi, I need to do image processing to remove a certain pattern from a bitmap. Could you please help me with this?
There is something wrong with the code related to Posterize.. Can you please post the correct code
Hi,
Please tell me how can I give posterization effect to the bitmap, using different shades of grey
its a best tutorial…………..
I am a junior developer android apps. I have learned a lot from you.
hey i need tutorial for add text in image .
Your link provide best stuff, can you provide me some help about adding different brush in android like ms paint.
Thanks for such a great series of articles!
Hello, do you have any method to deskew an image?
good tutorial 😀 thanks
Thanks for this comprehensive list of tutorials. I found very useful especially the Image Processing category.
I also started collect all my tutorials on a single page: http://androidresearch.wordpress.com/android-tutorials/
This tutorial was very helpfull for me,i want to know more effects for image like vinatage,old,polaroid filters. can any one please give some idea how to do. please help me.
And this code is converted version of convolution:
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];
int[] pix = new int[width * height];
src.getPixels(pix, 0, width, 0, 0, width, height);
int index;
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) {
index = (y+j) * width + (x+i);
pixels[i][j] = pix[index];
}
}
// 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 255) { R = 255; }
// get final Green
G = (int)(sumG / matrix.Factor + matrix.Offset);
if(G 255) { G = 255; }
// get final Blue
B = (int)(sumB / matrix.Factor + matrix.Offset);
if(B 255) { B = 255; }
// apply new pixel
pix[y * width + x] = 0xff000000 | (R << 16) | (G << 8) | B;
//result.setPixel(x + 1, y + 1, Color.argb(A, R, G, B));
}
result.setPixels(pix, 0, width, 0, 0, width, height);
pix = null;
// final image
return result;
}
Smiley in the code is 8
Hi,
As i commented before i made an improvement using array instead of getpixel function its performance change drastically. Let me share it with you:
package com.montagraph;
import android.graphics.Bitmap;
import android.graphics.Canvas;
import android.graphics.Color;
import android.graphics.Matrix;
import android.graphics.Paint;
import android.graphics.Point;
import android.graphics.PorterDuffXfermode;
import android.graphics.Rect;
import android.graphics.RectF;
import android.graphics.Bitmap.Config;
import android.graphics.PorterDuff.Mode;
//thanks to https://xjaphx.wordpress.com
public class PhotoEffects {
Bitmap mBitmap;
Bitmap mOriginalBitmap;
Bitmap.Config mBitmapConfig;
int mWidth;
int mHeight;
public PhotoEffects(Bitmap src)
{
mOriginalBitmap = mBitmap = src;
mBitmapConfig = src.getConfig();
mWidth = src.getWidth();
mHeight = src.getHeight();
}
public Bitmap rotate(float degree) {
// create new matrix
Matrix matrix = new Matrix();
// setup rotation degree
matrix.postRotate(degree);
// return new bitmap rotated using matrix
return Bitmap.createBitmap(mBitmap, 0, 0, mWidth, mHeight, matrix, true);
}
public Bitmap mirror() {//flipHorizontal
// create new matrix for transformation
Matrix matrix = new Matrix();
// x = x * -1
matrix.preScale(-1.0f, 1.0f);
// unknown type
// return transformed image
return Bitmap.createBitmap(mBitmap, 0, 0, mWidth, mHeight, matrix, true);
}
public Bitmap addWatermark(String watermark, Point location, int color, int alpha, int size, boolean underline) {
Bitmap bmOut = Bitmap.createBitmap(mWidth, mHeight, mBitmapConfig);
Canvas canvas = new Canvas(bmOut);
canvas.drawBitmap(mBitmap, 0, 0, null);
Paint paint = new Paint(Paint.ANTI_ALIAS_FLAG);
paint.setColor(color);
paint.setAlpha(alpha);
paint.setTextSize(size);
paint.setAntiAlias(true);
paint.setUnderlineText(underline);
canvas.drawText(watermark, location.x, location.y, paint);
mBitmap = bmOut;
return bmOut;
}
public Bitmap roundCorner(float round) {
// create bitmap output
Bitmap bmOut = Bitmap.createBitmap(mWidth, mHeight, Config.ARGB_8888);
// set canvas for painting
Canvas canvas = new Canvas(bmOut);
canvas.drawARGB(0, 0, 0, 0);
// config paint
final Paint paint = new Paint(Paint.ANTI_ALIAS_FLAG);
paint.setAntiAlias(true);
paint.setColor(Color.BLACK);
// config rectangle for embedding
final Rect rect = new Rect(0, 0, mWidth, mHeight);
final RectF rectF = new RectF(rect);
// draw rect to canvas
canvas.drawRoundRect(rectF, round, round, paint);
// create Xfer mode
paint.setXfermode(new PorterDuffXfermode(Mode.SRC_IN));
// draw source image to canvas
canvas.drawBitmap(mBitmap, rect, rect, paint);
// return final image
mBitmap = bmOut;
return bmOut;
}
public Bitmap blur() {
double[][] GaussianBlurConfig = new double[][] {
{ -1, 0, -1 },
{ 0, 4, 0 },
{ -1, 0, -1 }
};
ConvolutionMatrix convMatrix = new ConvolutionMatrix(3);
convMatrix.applyConfig(GaussianBlurConfig);
convMatrix.Factor = 16;
convMatrix.Offset = 0;
return ConvolutionMatrix.computeConvolution3x3(mBitmap, convMatrix);
}
public Bitmap hue(double hue) {
int[] pix = new int[mWidth * mHeight];
mBitmap.getPixels(pix, 0, mWidth, 0, 0, mWidth, mHeight);
float[] hsv = new float[3];
for (int y = 0; y < mHeight; y++)
for (int x = 0; x < mWidth; x++)
{
int index = y * mWidth + x;
Color.colorToHSV( pix[index], hsv );
hsv[0] = (float)((hsv[0] + 360 * hue) % 360);
pix[index] = (Color.HSVToColor( hsv ) & 0x00ffffff) | (pix[index] & 0xff000000);
}
Bitmap bm = Bitmap.createBitmap(mWidth, mHeight, mBitmapConfig);
bm.setPixels(pix, 0, mWidth, 0, 0, mWidth, mHeight);
mBitmap = bm;
pix = null;
return mBitmap;
/*
// create bitmap output
Bitmap bmOut = Bitmap.createBitmap(mWidth, mHeight, Config.ARGB_8888);
float[] hsv = new float[3];
for( int x = 0; x < mWidth; x++ ) {
for( int y = 0; y < mHeight; y++ ) {
int c = source.getPixel( x, y );
Color.colorToHSV( c, hsv );
hsv[0] = (float) ((hsv[0] + 360 * hue) % 360);
c = (Color.HSVToColor( hsv ) & 0x00ffffff) | (c & 0xff000000);
bmOut.setPixel( x, y, c );
}
}
mBitmap = bmOut;
return bmOut;
*/
}
public Bitmap brightness(int value)
{
int[] pix = new int[mWidth * mHeight];
mBitmap.getPixels(pix, 0, mWidth, 0, 0, mWidth, mHeight);
int R, G, B;
for (int y = 0; y < mHeight; y++)
for (int x = 0; x > 16) & 0xff;
int g = (pix[index] >> 8) & 0xff;
int b = pix[index] & 0xff;
R = r + value;
R = (R 255) ? 255 : R);
G = g + value;
G = (G 255) ? 255 : G);
B = b + value;
B = (B 255) ? 255 : B);
pix[index] = 0xff000000 | (R << 16) | (G << 8) | B;
}
Bitmap bm = Bitmap.createBitmap(mWidth, mHeight, mBitmapConfig);
bm.setPixels(pix, 0, mWidth, 0, 0, mWidth, mHeight);
mBitmap = bm;
pix = null;
return mBitmap;
}
public Bitmap sharpen(double weight) {
double[][] SharpConfig = new double[][] {
{ 0 , -2 , 0 },
{ -2, weight, -2 },
{ 0 , -2 , 0 }
};
ConvolutionMatrix convMatrix = new ConvolutionMatrix(3);
convMatrix.applyConfig(SharpConfig);
convMatrix.Factor = weight – 8;
return ConvolutionMatrix.computeConvolution3x3(mBitmap, convMatrix);
}
public Bitmap invert()
{
int[] pix = new int[mWidth * mHeight];
mBitmap.getPixels(pix, 0, mWidth, 0, 0, mWidth, mHeight);
int R, G, B;
for (int y = 0; y < mHeight; y++)
for (int x = 0; x > 16) & 0xff;
int g = (pix[index] >> 8) & 0xff;
int b = pix[index] & 0xff;
R = 255 – r;
R = (R 255) ? 255 : R);
G = 255 – g;
G = (G 255) ? 255 : G);
B = 255 – b;
B = (B 255) ? 255 : B);
pix[index] = 0xff000000 | (R << 16) | (G << 8) | B;
}
Bitmap bm = Bitmap.createBitmap(mWidth, mHeight, mBitmapConfig);
bm.setPixels(pix, 0, mWidth, 0, 0, mWidth, mHeight);
mBitmap = bm;
pix = null;
return mBitmap;
}
public Bitmap greyscale() {
// constant factors
final double GS_RED = 0.299;
final double GS_GREEN = 0.587;
final double GS_BLUE = 0.114;
int[] pix = new int[mWidth * mHeight];
mBitmap.getPixels(pix, 0, mWidth, 0, 0, mWidth, mHeight);
int R, G, B;
for (int y = 0; y < mHeight; y++)
for (int x = 0; x > 16) & 0xff;
int g = (pix[index] >> 8) & 0xff;
int b = pix[index] & 0xff;
R = G = B = (int)(GS_RED * r + GS_GREEN * g + GS_BLUE * b);
R = (R 255) ? 255 : R);
G = (G 255) ? 255 : G);
B = (B 255) ? 255 : B);
pix[index] = 0xff000000 | (R << 16) | (G << 8) | B;
}
Bitmap bm = Bitmap.createBitmap(mWidth, mHeight, mBitmapConfig);
bm.setPixels(pix, 0, mWidth, 0, 0, mWidth, mHeight);
mBitmap = bm;
pix = null;
return mBitmap;
}
public Bitmap sepia(int depth, double red, double green, double blue) {
final double GS_RED = 0.3;
final double GS_GREEN = 0.59;
final double GS_BLUE = 0.11;
int[] pix = new int[mWidth * mHeight];
mBitmap.getPixels(pix, 0, mWidth, 0, 0, mWidth, mHeight);
int R, G, B;
for (int y = 0; y < mHeight; y++)
for (int x = 0; x > 16) & 0xff;
int g = (pix[index] >> 8) & 0xff;
int b = pix[index] & 0xff;
R = G = B = (int)(GS_RED * r + GS_GREEN * g + GS_BLUE * b);
R = (R 255) ? 255 : R);
G = (G 255) ? 255 : G);
B = (B 255) ? 255 : B);
pix[index] = 0xff000000 | (R << 16) | (G << 8) | B;
}
Bitmap bm = Bitmap.createBitmap(mWidth, mHeight, mBitmapConfig);
bm.setPixels(pix, 0, mWidth, 0, 0, mWidth, mHeight);
mBitmap = bm;
pix = null;
return mBitmap;
}
public Bitmap contrast(double value) {
// get contrast value
double contrast = Math.pow((100 + value) / 100, 2);
int[] pix = new int[mWidth * mHeight];
mBitmap.getPixels(pix, 0, mWidth, 0, 0, mWidth, mHeight);
int R, G, B;
for (int y = 0; y < mHeight; y++)
for (int x = 0; x > 16) & 0xff;
int g = (pix[index] >> 8) & 0xff;
int b = pix[index] & 0xff;
R = (int)(((((r / 255.0) – 0.5) * contrast) + 0.5) * 255.0);
R = (R 255) ? 255 : R);
G = (int)(((((g / 255.0) – 0.5) * contrast) + 0.5) * 255.0);
G = (G 255) ? 255 : G);
B = (int)(((((b / 255.0) – 0.5) * contrast) + 0.5) * 255.0);
B = (B 255) ? 255 : B);
pix[index] = 0xff000000 | (R << 16) | (G << 8) | B;
}
Bitmap bm = Bitmap.createBitmap(mWidth, mHeight, mBitmapConfig);
bm.setPixels(pix, 0, mWidth, 0, 0, mWidth, mHeight);
mBitmap = bm;
pix = null;
return mBitmap;
}
public Bitmap posterize(int bitOffset) {//decreaseColorDepth
int[] pix = new int[mWidth * mHeight];
mBitmap.getPixels(pix, 0, mWidth, 0, 0, mWidth, mHeight);
int R, G, B;
for (int y = 0; y < mHeight; y++)
for (int x = 0; x > 16) & 0xff;
int g = (pix[index] >> 8) & 0xff;
int b = pix[index] & 0xff;
R = ((r + (bitOffset / 2)) – ((r + (bitOffset / 2)) % bitOffset) – 1);
R = (R 255) ? 255 : R);
G = ((g + (bitOffset / 2)) – ((g + (bitOffset / 2)) % bitOffset) – 1);
G = (G 255) ? 255 : G);
B = ((b + (bitOffset / 2)) – ((b + (bitOffset / 2)) % bitOffset) – 1);
B = (B 255) ? 255 : B);
pix[index] = 0xff000000 | (R << 16) | (G << 8) | B;
}
Bitmap bm = Bitmap.createBitmap(mWidth, mHeight, mBitmapConfig);
bm.setPixels(pix, 0, mWidth, 0, 0, mWidth, mHeight);
mBitmap = bm;
pix = null;
return mBitmap;
}
public Bitmap engrave() {
ConvolutionMatrix convMatrix = new ConvolutionMatrix(3);
convMatrix.setAll(0);
convMatrix.Matrix[0][0] = -2;
convMatrix.Matrix[1][1] = 2;
convMatrix.Factor = 1;
convMatrix.Offset = 95;
return ConvolutionMatrix.computeConvolution3x3(mBitmap, convMatrix);
}
public Bitmap colorize(int type, float percent) {
int[] pix = new int[mWidth * mHeight];
mBitmap.getPixels(pix, 0, mWidth, 0, 0, mWidth, mHeight);
int R, G, B;
for (int y = 0; y < mHeight; y++)
for (int x = 0; x > 16) & 0xff;
int g = (pix[index] >> 8) & 0xff;
int b = pix[index] & 0xff;
R=r;
G=g;
B=b;
if(type == 1) {
R = (int)(r * (1 + percent));
}
else if(type == 2) {
G = (int)(g * (1 + percent));
}
else if(type == 3) {
B = (int)(b * (1 + percent));
}
R = (R 255) ? 255 : R);
G = (G 255) ? 255 : G);
B = (B 255) ? 255 : B);
pix[index] = 0xff000000 | (R << 16) | (G << 8) | B;
}
Bitmap bm = Bitmap.createBitmap(mWidth, mHeight, mBitmapConfig);
bm.setPixels(pix, 0, mWidth, 0, 0, mWidth, mHeight);
mBitmap = bm;
pix = null;
return mBitmap;
}
public Bitmap tint(int deg) {
int[] pix = new int[mWidth * mHeight];
mBitmap.getPixels(pix, 0, mWidth, 0, 0, mWidth, mHeight);
int RY, GY, BY, RYY, GYY, BYY, R, G, B, Y;
double angle = (3.14159d * (double)deg) / 180.0d;
int S = (int)(256.0d * Math.sin(angle));
int C = (int)(256.0d * Math.cos(angle));
for (int y = 0; y < mHeight; y++)
for (int x = 0; x > 16) & 0xff;
int g = (pix[index] >> 8) & 0xff;
int b = pix[index] & 0xff;
RY = ( 70 * r – 59 * g – 11 * b) / 100;
GY = (-30 * r + 41 * g – 11 * b) / 100;
BY = (-30 * r – 59 * g + 89 * b) / 100;
Y = ( 30 * r + 59 * g + 11 * b) / 100;
RYY = (S * BY + C * RY) / 256;
BYY = (C * BY – S * RY) / 256;
GYY = (-51 * RYY – 19 * BYY) / 100;
R = Y + RYY;
R = (R 255) ? 255 : R);
G = Y + GYY;
G = (G 255) ? 255 : G);
B = Y + BYY;
B = (B 255) ? 255 : B);
pix[index] = 0xff000000 | (R << 16) | (G << 8) | B;
}
Bitmap bm = Bitmap.createBitmap(mWidth, mHeight, mBitmapConfig);
bm.setPixels(pix, 0, mWidth, 0, 0, mWidth, mHeight);
mBitmap = bm;
pix = null;
return mBitmap;
}
}
Hi,
I am not able to get few line of code. Can you please guide me their exact usage and syntax?
for (int x = 0; x > 16) // & 0xff; //
int g = (pix[index] >> 8) // & 0xff; //
int b = pix[index] & 0xff;
R = ((r + (bitOffset / 2)) – ((r + (bitOffset / 2)) % bitOffset) – 1);
R = // (R 255) ? 255 : R); //
G = ((g + (bitOffset / 2)) – ((g + (bitOffset / 2)) % bitOffset) – 1);
G = (G 255) ? 255 : G); //
B = ((b + (bitOffset / 2)) – ((b + (bitOffset / 2)) % bitOffset) – 1);
B = (B 255) ? 255 : B); //
pix[index] = 0xff000000 | (R << 16) | (G << 8) | B;
this is what i copped from above and those with // i am not able to understand. kindly help me out as getpixel and set by loop is giving me worst time … Thanks
Can you please tell me how can I posterize the bitmap.. I am trying to follow your code here but it is not compiling.. seems like some of the symbols are missing
Hi as a suggestion instead of using getPixel function in a loop you can use getPixels to capture all pixels into an array then process them it would improve the performance
That’s true! It’s supposed to be that way 🙂
Nice Image Processing tutorial ^^