在我最近的項目中,我似乎碰到了一堵牆,涉及圖像上的波紋/波紋。我製作了一個可以在完美的網格上使用基本顏色的作品;哎呀,我甚至根據波浪的高度爲顏色添加了陰影。請使用「Hugo Elias」算法生成波浪! Java
但是,我的總體目標是使這種效果在圖像上工作,就像您會看到here一樣。我正在使用一種算法,人們稱之爲Hugo Elias方法(儘管idk如果他真的想出了這個設計)。他的教程可以找到here!
當遵循該教程時,我發現他的僞代碼難以遵循。我的意思是大多數情況下這個概念是有意義的,直到我在圖像上點擊高度圖部分。問題是x和y偏移量會拋出ArrayIndexOutOfBoundsException,因爲他將偏移量添加到相應的x或y。如果波形太大(即在我的情況下爲512),則會引發錯誤;但是,如果它太小,你看不到它。
任何想法或修復我的企圖實現他的算法將使我的一天。謝謝!
所以我不能真正做出一個小的可編譯版本並顯示問題,但我會給出我在算法中使用的三種方法。另請注意,buffer1和buffer2是wave(current和previous)的高度貼圖,imgArray是一個由int [img.getWidth()* img.getHeight()]表示的bufferedImage,其中包含ARGB值。
反正在這裏你去:
public class WaveRippleAlgorithmOnImage extends JPanel implements Runnable, MouseListener, MouseMotionListener
{
private int[] buffer1;
private int[] buffer2;
private int[] imgArray;
private int[] movedImgArray;
private static double dampening = 0.96;
private BufferedImage img;
public WaveRippleAlgorithmOnImage(BufferedImage img)
{
this.img = img;
imgArray = new int[img.getHeight()*img.getWidth()];
movedImgArray = new int[img.getHeight()*img.getWidth()];
imgArray = img.getRGB(0, 0,
img.getWidth(), img.getHeight(),
null, 0, img.getWidth());
//OLD CODE
/*for(int y = 0; y < img.getHeight(); y++)
{
for(int x = 0; x < img.getWidth(); x++)
{
imgArray[y][x] = temp[0 + (y-0)*img.getWidth() + (x-0)];
}
}*/
buffer1 = new int[img.getHeight()*img.getWidth()];
buffer2 = new int[img.getHeight()*img.getWidth()];
buffer1[buffer1.length/2] = (img.getWidth() <= img.getHeight() ? img.getWidth()/3 : img.getHeight()/3);
//buffer1[25][25] = 10;
back = new BufferedImage(img.getWidth(), img.getHeight(), BufferedImage.TYPE_INT_ARGB);
this.addMouseListener(this);
this.addMouseMotionListener(this);
}
//<editor-fold defaultstate="collapsed" desc="Used Methods">
@Override
public void run()
{
while(true)
{
this.update();
this.repaint();
this.swap();
}
}
//Called from Thread to update movedImgArray prior to being drawn.
private void update()
{
//This is my attempt of trying to convert his code to java.
for (int i=img.getWidth(); i < imgArray.length - 1; i++)
{
if(i % img.getWidth() == 0 || i >= imgArray.length - img.getWidth())
continue;
buffer2[i] = (
((buffer1[i-1]+
buffer1[i+1]+
buffer1[i-img.getWidth()]+
buffer1[i+img.getWidth()]) >> 1)) - buffer2[i];
buffer2[i] -= (buffer2[i] >> 5);
}
//Still my version of his code, because of the int[] instead of int[][].
for (int y = 1; y < img.getHeight() - 2; y++)
{
for(int x = 1; x < img.getWidth() - 2; x++)
{
int xOffset = buffer1[((y)*img.getWidth()) + (x-1)] - buffer1[((y)*img.getWidth()) + (x+1)];
int yOffset = buffer1[((y-1)*img.getWidth()) + (x)] - buffer1[((y+1)*img.getWidth()) + (x)];
int shading = xOffset;
//Here is where the error occurs (after a click or wave started), because yOffset becomes -512; which in turn gets
//multiplied by y... Not good... -_-
movedImgArray[(y*img.getWidth()) + x] = imgArray[((y+yOffset)*img.getWidth()) + (x+xOffset)] + shading;
}
}
//This is my OLD code that kidna worked...
//I threw in here to show you how I was doing it before I switched to images.
/*
for(int y = 1; y < img.getHeight() - 1; y++)
{
for(int x = 1; x < img.getWidth() - 1; x++)
{
//buffer2[y][x] = ((buffer1[y][x-1] +
//buffer1[y][x+1] +
//buffer1[y+1][x] +
//buffer1[y-1][x])/4) - buffer2[y][x];
buffer2[y][x] = ((buffer1[y][x-1] +
buffer1[y][x+1] +
buffer1[y+1][x] +
buffer1[y-1][x] +
buffer1[y + 1][x-1] +
buffer1[y + 1][x+1] +
buffer1[y - 1][x - 1] +
buffer1[y - 1][x + 1])/4) - buffer2[y][x];
buffer2[y][x] = (int)(buffer2[y][x] * dampening);
}
}*/
}
//Swaps buffers
private void swap()
{
int[] temp;
temp = buffer2;
buffer2 = buffer1;
buffer1 = temp;
}
//This creates a wave upon clicking. It also is where that 512 is coming from.
//512 was about right in my OLD code shown above, but helps to cause the Exeception now.
@Override
public void mouseClicked(MouseEvent e)
{
if(e.getX() > 0 && e.getY() > 0 && e.getX() < img.getWidth() && e.getY() < img.getHeight())
buffer2[((e.getY())*img.getWidth()) + (e.getX())] = 512;
}
private BufferedImage back;
@Override
public void paintComponent(Graphics g)
{
super.paintComponent(g);
back.setRGB(0, 0, img.getWidth(), img.getHeight(), movedImgArray, 0, img.getWidth());
g.drawImage(back, 0, 0, null);
}
}
所以任何建議或想法,將不勝感激。再次感謝!
P.S.以下是舊代碼工作的兩個圖像。
你想縮小你的代碼和問題嗎? –
就像我說過的,我確實盡力縮小範圍以符合SSCCE指南,但實際上我只是想更好地理解如何實現其算法的圖像部分。 我只放置了我認爲對修復它很重要的方法。 ^ _^ –
+1不幸的是,這篇優秀的文章已不再可用,希望我已經將它保存下來,但我沒有。正是通過這個算法,我意識到並實現了我自己的樸素模糊算法(思考速度高於高斯),然後繼續發現「可分離的3遍盒模糊」 - 一種比高斯快得多的方法。 – Nolo