J 2 ME画像のスケーリングに関するいくつかの関数を収集した.
いくつかの画像のスケーリング関数を収集して、実現する可能性のある方式はとても多くて、これらはやはり悪くないと感じて、分かち合って説明します:以下の関数はすべてMIDP 2に基づいています.0の場合、拡大・縮小した後も透明な色が残ります.
コード1、resizeImage関数
コード2,ZoomImage関数
1 public static Image ZoomImage(Image src,int desW,int desH){2 Image desImg=null;3 int srcW=src.getWidth();//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////新int[desH];9 int[] tabX = new int[desW]; 10 int sb = 0; 11 int db = 0; 12 int tems = 0; 13 int temd = 0; 14 int distance = srcH > desH ? srcH : desH; 15 for(int i=0;i<=distance;i++){/*垂直方向*/16 tabY[db]=sb;17 tems+=srcH;18 temd+=desH;19 if(tems>distance){20 tems-=distance;21 sb+;22}23 if(temd>distance){24 temd-=distance;25 db+;26}27 sb=0;29 db = 0; 30 tems = 0; 31 temd = 0; 32 distance = srcW > desW ? srcW : desW; 33 for(int i=0;i<=distance;i++){/*水平方向*/34 tabX[db]=(short)sb;35 tems+=srcW;36 temd+=desW;37 if(tems>distance){38 tems-=distance;39 sb++;40}41 if(temd>distance){42 temd-=distance;43 db++;44}45}46//拡大縮小後のグラフィック画素buf 47 intdesBuf=new[desW*desH];48 int dx = 0; 49 int dy = 0; 50 int sy = 0; 51 int oldy = -1; 52 for (int i = 0; i < desH; i++) { 53 if (oldy == tabY[i]) { 54 System.arraycopy(desBuf, dy - desW, desBuf, dy, desW); 55 } else { 56 dx = 0; 57 for (int j = 0; j < desW; j++) { 58 desBuf[dy + dx] = srcBuf[sy + tabX[j]]; 59 dx++; 60 } 61 sy += (tabY[i] - oldy) * srcW; 62 } 63 oldy = tabY[i]; 64 dy += desW; 65}66//生成ピクチャ67 desImg=Image.createRGBImage(desBuf, desW, desH, true); 68 return desImg; 69 }
コード3
1 public static Image scaleImage(Image original, int newWidth, int newHeight) { 2 int[] rawInput = new int[original.getHeight() * original.getWidth()]; 3 original.getRGB(rawInput, 0, original.getWidth(), 0, 0, original.getWidth(), original.getHeight()); 4 int[] rawOutput = new int[newWidth * newHeight]; 5 //YD compensates for the x loop by subtracting the width back out 6 int YD = (original.getHeight()/newHeight) * original.getWidth() - original.getWidth(); 7 int YR = original.getHeight() % newHeight; 8 int XD = original.getWidth()/newWidth; 9 int XR = original.getWidth() % newWidth; 10 int outOffset = 0; 11 int inOffset = 0; 12 for (int y = newHeight, YE = 0; y > 0; y--) { 13 for (int x = newWidth, XE = 0; x > 0; x--) { 14 rawOutput[outOffset++] = rawInput[inOffset]; 15 inOffset += XD; 16 XE += XR; 17 if (XE >= newWidth) { 18 XE -= newWidth; 19 inOffset++; 20 } 21 } 22 inOffset += YD; 23 YE += YR; 24 if (YE >= newHeight) { 25 YE -= newHeight; 26 inOffset += original.getWidth(); 27 } 28 } 29 return Image.createRGBImage(rawOutput, newWidth, newHeight, true); 30 }
100*100の画像を200*200に入れて比較したところ、ZoomImageで生成された画像と他の2つの関数で生成された画像は少し違い、ZoomImageの効果が良いと感じました.もう少し拡大するとほぼ同じで、違いは見えません.
コード4
使用例:
1.1枚のピクチャーpicを176*208の図に変換し、pic=transImage(pic,176208);
2.1枚の画像picを元の2倍の大きさに変換し、pic=scaleImage(pci,2,1);
3.1枚の画像picを元の3分の2に変換し、pic=scaleImage(pic,2,3)
コード5,
以上の内容は転載します:http://blog.csdn.net/pjw100/archive/2009/11/26/4876053.aspx
コード1、resizeImage関数
public static Image resizeImage(Image src, int destW, int destH) {
int srcW = src.getWidth();
int srcH = src.getHeight();
// create pixel arrays
int[] destPixels = new int[destW * destH]; // array to hold destination
// pixels
int[] srcPixels = new int[srcW * srcH]; // array with source's pixels
src.getRGB(srcPixels, 0, srcW, 0, 0, srcW, srcH);
// 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];
}
}
// return a new image created from the destination pixel buffer
return Image.createRGBImage(destPixels, destW, destH, true);
}コード2,ZoomImage関数
1 public static Image ZoomImage(Image src,int desW,int desH){2 Image desImg=null;3 int srcW=src.getWidth();//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////新int[desH];9 int[] tabX = new int[desW]; 10 int sb = 0; 11 int db = 0; 12 int tems = 0; 13 int temd = 0; 14 int distance = srcH > desH ? srcH : desH; 15 for(int i=0;i<=distance;i++){/*垂直方向*/16 tabY[db]=sb;17 tems+=srcH;18 temd+=desH;19 if(tems>distance){20 tems-=distance;21 sb+;22}23 if(temd>distance){24 temd-=distance;25 db+;26}27 sb=0;29 db = 0; 30 tems = 0; 31 temd = 0; 32 distance = srcW > desW ? srcW : desW; 33 for(int i=0;i<=distance;i++){/*水平方向*/34 tabX[db]=(short)sb;35 tems+=srcW;36 temd+=desW;37 if(tems>distance){38 tems-=distance;39 sb++;40}41 if(temd>distance){42 temd-=distance;43 db++;44}45}46//拡大縮小後のグラフィック画素buf 47 intdesBuf=new[desW*desH];48 int dx = 0; 49 int dy = 0; 50 int sy = 0; 51 int oldy = -1; 52 for (int i = 0; i < desH; i++) { 53 if (oldy == tabY[i]) { 54 System.arraycopy(desBuf, dy - desW, desBuf, dy, desW); 55 } else { 56 dx = 0; 57 for (int j = 0; j < desW; j++) { 58 desBuf[dy + dx] = srcBuf[sy + tabX[j]]; 59 dx++; 60 } 61 sy += (tabY[i] - oldy) * srcW; 62 } 63 oldy = tabY[i]; 64 dy += desW; 65}66//生成ピクチャ67 desImg=Image.createRGBImage(desBuf, desW, desH, true); 68 return desImg; 69 }
コード3
1 public static Image scaleImage(Image original, int newWidth, int newHeight) { 2 int[] rawInput = new int[original.getHeight() * original.getWidth()]; 3 original.getRGB(rawInput, 0, original.getWidth(), 0, 0, original.getWidth(), original.getHeight()); 4 int[] rawOutput = new int[newWidth * newHeight]; 5 //YD compensates for the x loop by subtracting the width back out 6 int YD = (original.getHeight()/newHeight) * original.getWidth() - original.getWidth(); 7 int YR = original.getHeight() % newHeight; 8 int XD = original.getWidth()/newWidth; 9 int XR = original.getWidth() % newWidth; 10 int outOffset = 0; 11 int inOffset = 0; 12 for (int y = newHeight, YE = 0; y > 0; y--) { 13 for (int x = newWidth, XE = 0; x > 0; x--) { 14 rawOutput[outOffset++] = rawInput[inOffset]; 15 inOffset += XD; 16 XE += XR; 17 if (XE >= newWidth) { 18 XE -= newWidth; 19 inOffset++; 20 } 21 } 22 inOffset += YD; 23 YE += YR; 24 if (YE >= newHeight) { 25 YE -= newHeight; 26 inOffset += original.getWidth(); 27 } 28 } 29 return Image.createRGBImage(rawOutput, newWidth, newHeight, true); 30 }
100*100の画像を200*200に入れて比較したところ、ZoomImageで生成された画像と他の2つの関数で生成された画像は少し違い、ZoomImageの効果が良いと感じました.もう少し拡大するとほぼ同じで、違いは見えません.
コード4
1
/*
*/
2
public
Image scaleImage(Image src,
int
scales1,
int
scales2)
3
{
4
return
transImage(src,src.getWidth()
*
scales1
/
scales2,src.getHeight()
*
scales1
/
scales2);
5
}
6
public
Image transImage(Image src,
int
w,
int
h)
7
{
8
int
srcW
=
src.getWidth();
9
int
srcH
=
src.getHeight();
10
int
dstW
=
w,dstH
=
h;
11
Image tmp
=
Image.createImage(dstW, srcH);
12
Graphics g
=
tmp.getGraphics();
13
int
scale
=
16
;
14
int
delta
=
(srcW
<<
scale)
/
dstW;
//
15
int
pos
=
delta
/
2
;
//
16
for
(
int
x
=
0
; x
<
dstW; x
++
)
17
{
18
g.setClip(x,
0
,
1
, srcH);
19
g.drawImage(src, x
-
(pos
>>
scale),
0
, Graphics.LEFT
|
Graphics.TOP);
20
pos
+=
delta;
21
}
22
Image dst
=
Image.createImage( dstW, dstH);
23
g
=
dst.getGraphics();
24
delta
=
(srcH
<<
scale)
/
dstH;
25
pos
=
delta
/
2
;
26
for
(
int
y
=
0
; y
<
dstH; y
++
)
27
{
28
g.setClip(
0
,y, dstW,
1
);
29
g.drawImage(tmp,
0
, y
-
(pos
>>
scale), Graphics.LEFT
|
Graphics.TOP);
30
pos
+=
delta;
31
}
32
return
dst;
33
}
34
使用例:
1.1枚のピクチャーpicを176*208の図に変換し、pic=transImage(pic,176208);
2.1枚の画像picを元の2倍の大きさに変換し、pic=scaleImage(pci,2,1);
3.1枚の画像picを元の3分の2に変換し、pic=scaleImage(pic,2,3)
コード5,
1
public
static
final
Image scale(Image srcImage,
int
newW,
int
newH) {
2
int
srcW
=
srcImage.getWidth();
3
int
srcH
=
srcImage.getHeight();
4
//
5
Image tmp
=
Image.createImage(newW, srcH);
6
Graphics g
=
tmp.getGraphics();
7
for
(
int
x
=
0
; x
<
newW; x
++
) {
8
g.setClip(x,
0
,
1
, srcH);
//
9
g.drawImage(srcImage, x
-
x
*
srcW
/
newW,
0
, Graphics.LEFT
|
Graphics.TOP);
10
}
11
//
12
Image dst
=
Image.createImage(newW, newH);
13
g
=
dst.getGraphics();
14
for
(
int
y
=
0
; y
<
newH; y
++
) {
15
g.setClip(
0
, y, newW,
1
);
//
16
g.drawImage(tmp,
0
, y
-
y
*
srcH
/
newH, Graphics.LEFT
|
Graphics.TOP);
17
}
18
return
dst;
19
}
以上の内容は転載します:http://blog.csdn.net/pjw100/archive/2009/11/26/4876053.aspx