基于MIDP2.0实现图片的缩放功能
2007-12-23 12:34:34 来源:WEB开发网以前在SUN的论坛看到过关于图片缩放的处理,是基于MIDP2.0实现的。今天看到有网友在问这个问题,因此去翻了一下以前的帖子找到了源代码,自己写了一个测试程序验证了一下效果还算可以。希望可以解这位网友的燃眉之急。
源代码如下:
package com.j2medev.image;
import javax.microedition.lcdui.*;
public class ImageUtil
{
// fixed point constants
PRivate static final int FP_SHIFT = 13;
private static final int FP_ONE = 1 << FP_SHIFT;
private static final int FP_HALF = 1 << (FP_SHIFT - 1);
// resampling modes - valid values for the mode parameter of resizeImage()
// any other value will default to MODE_BOX_FILTER because of the way the
// conditionals are set in resizeImage()
public static final int MODE_POINT_SAMPLE = 0;
public static final int MODE_BOX_FILTER = 1;
/**
* getPixels Wrapper for pixel grabbing techniques. I separated this step
* into it's own function so that other APIs (Nokia, Motorola, Siemens,
* etc.) can easily substitute the MIDP 2.0 API (Image.getRGB()).
*
* @param src
* The source image whose pixels we are grabbing.
* @return An int array containing the pixels in 32 bit ARGB format.
*/
int[] getPixels(Image src)
{
int w = src.getWidth();
int h = src.getHeight();
int[] pixels = new int[w * h];
src.getRGB(pixels, 0, w, 0, 0, w, h);
return pixels;
}
/**
* drawPixels Wrapper for pixel drawing function. I separated this step into
* it's own function so that other APIs (Nokia, Motorola, Siemens, etc.) can
* easily substitute the MIDP 2.0 API (Image.createRGBImage()).
*
* @param pixels
* int array containing the pixels in 32 bit ARGB format.
* @param w
* The width of the image to be created.
* @param h
* The height of the image to be created. This parameter is
* actually superfluous, because it must equal pixels.length / w.
* @return The image created from the pixel array.
*/
Image drawPixels(int[] pixels, int w, int h)
{
return Image.createRGBImage(pixels, w, h, true);
}
/**
* resizeImage Gets a source image along with new size for it and resizes
* it.
*
* @param src
* The source image.
* @param destW
* The new width for the destination image.
* @param destH
* The new heigth for the destination image.
* @param mode
* A flag indicating what type of resizing we want to do. It
* currently supports two type: MODE_POINT_SAMPLE - point sampled
* resizing, and MODE_BOX_FILTER - box filtered resizing
* (default).
* @return The resized image.
*/
Image resizeImage(Image src, int destW, int destH, int mode)
{
int srcW = src.getWidth();
int srcH = src.getHeight();
// create pixel arrays
int[] destPixels = new int[destW * destH]; // array to hold destination
// pixels
int[] srcPixels = getPixels(src); // array with source's pixels
if (mode == MODE_POINT_SAMPLE)
{
// simple point smapled resizing
// loop through the destination pixels, find the matching pixel on
// the source and use that
for (int destY = 0; destY < destH; ++destY)
{
for (int destX = 0; destX < destW; ++destX)
{
int srcX = (destX * srcW) / destW;
int srcY = (destY * srcH) / destH;
destPixels[destX + destY * destW] = srcPixels[srcX + srcY
* srcW];
}
}
} else
{
// precalculate src/dest ratios
int ratioW = (srcW << FP_SHIFT) / destW;
int ratioH = (srcH << FP_SHIFT) / destH;
int[] tmpPixels = new int[destW * srcH]; // temporary buffer for the
// horizontal resampling
// step
// variables to perform additive blending
int argb; // color extracted from source
int a, r, g, b; // separate channels of the color
int count; // number of pixels sampled for calculating the average
// the resampling will be separated into 2 steps for simplicity
// the first step will keep the same height and just stretch the
// picture horizontally
// the second step will take the intermediate result and stretch it
// vertically
// horizontal resampling
for (int y = 0; y < srcH; ++y)
{
for (int destX = 0; destX < destW; ++destX)
{
count = 0;
a = 0;
r = 0;
b = 0;
g = 0; // initialize color blending vars
int srcX = (destX * ratioW) >> FP_SHIFT; // calculate
// beginning of
// sample
int srcX2 = ((destX + 1) * ratioW) >> FP_SHIFT; // calculate
// end of
// sample
// now loop from srcX to srcX2 and add up the values for
// each channel
do
{
argb = srcPixels[srcX + y * srcW];
a += ((argb & 0xff000000) >> 24); // alpha channel
r += ((argb & 0x00ff0000) >> 16); // red channel
g += ((argb & 0x0000ff00) >> 8); // green channel
b += (argb & 0x000000ff); // blue channel
++count; // count the pixel
++srcX; // move on to the next pixel
} while (srcX <= srcX2
&& srcX + y * srcW < srcPixels.length);
// average out the channel values
a /= count;
r /= count;
g /= count;
b /= count;
// recreate color from the averaged channels and place it
// into the temporary buffer
tmpPixels[destX + y * destW] = ((a << 24) (r << 16)
(g << 8) b);
}
}
// vertical resampling of the temporary buffer (which has been
// horizontally resampled)
System.out.println("Vertical resampling...");
for (int x = 0; x < destW; ++x)
{
for (int destY = 0; destY < destH; ++destY)
{
count = 0;
a = 0;
r = 0;
b = 0;
g = 0; // initialize color blending vars
int srcY = (destY * ratioH) >> FP_SHIFT; // calculate
// beginning of
// sample
int srcY2 = ((destY + 1) * ratioH) >> FP_SHIFT; // calculate
// end of
// sample
// now loop from srcY to srcY2 and add up the values for
// each channel
do
{
argb = tmpPixels[x + srcY * destW];
a += ((argb & 0xff000000) >> 24); // alpha channel
r += ((argb & 0x00ff0000) >> 16); // red channel
g += ((argb & 0x0000ff00) >> 8); // green channel
b += (argb & 0x000000ff); // blue channel
++count; // count the pixel
++srcY; // move on to the next pixel
} while (srcY <= srcY2
&& x + srcY * destW < tmpPixels.length);
// average out the channel values
a /= count;
a = (a > 255) ? 255 : a;
r /= count;
r = (r > 255) ? 255 : r;
g /= count;
g = (g > 255) ? 255 : g;
b /= count;
b = (b > 255) ? 255 : b;
// recreate color from the averaged channels and place it
// into the destination buffer
destPixels[x + destY * destW] = ((a << 24) (r << 16)
(g << 8) b);
}
}
}
// return a new image created from the destination pixel buffer
return drawPixels(destPixels, destW, destH);
}
}
有兴趣的网友可以仔细研究一下。我准备了一个图片,然后写了一个测试的MIDlet。下面是效果对比。
/*
* Created on 2004-12-24
*
* TODO To change the template for this generated file go to
* Window - Preferences - Java - Code Style - Code Templates
*/
package com.j2medev.image;
import java.io.IOException;
import javax.microedition.lcdui.Canvas;
import javax.microedition.lcdui.Display;
import javax.microedition.lcdui.Form;
import javax.microedition.lcdui.Image;
import javax.microedition.midlet.MIDlet;
import javax.microedition.midlet.MIDletStateChangeException;
public class TestMIDlet extends MIDlet
{
private Display display;
private Form form;
protected void startApp() throws MIDletStateChangeException
{
display = Display.getDisplay(this);
Image srcImage = null;
try
{
srcImage = Image.createImage("/welcome.png");
} catch (IOException e)
{
}
ImageUtil iu = new ImageUtil();
form = new Form("Image");
int width = form.getWidth();
int height = form.getHeight();
Image destImage = iu.resizeImage(srcImage, width, height,
ImageUtil.MODE_POINT_SAMPLE);
form.append(destImage);
display.setCurrent(form);
}
protected void pauseApp()
{
}
protected void destroyApp(boolean arg0) throws MIDletStateChangeException
{
}
}
(出处:http://www.cncms.com)
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