java 双立方差值+调用方法 +java自带的图片压缩方法
2019独角兽企业重金招聘Python工程师标准>>> 
BiCubicInterpolationScale.java
package com.util; import java.awt.Image;
import java.awt.Toolkit;
import java.awt.image.BufferedImage;
import java.awt.image.MemoryImageSource;
import java.io.File;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.OutputStream;import javax.imageio.ImageIO;import com.sun.image.codec.jpeg.JPEGCodec;
import com.sun.image.codec.jpeg.JPEGImageEncoder;public class BiCubicInterpolationScale { private static double a00, a01, a02, a03; private static double a10, a11, a12, a13; private static double a20, a21, a22, a23; private static double a30, a31, a32, a33; private static int srcWidth; private static int srcHeight; /** * 双立方插值 * @param inPixelsData 像素矩阵数组 * @param srcW 原图像的宽 * @param srcH 原图像的高 * @param destW 目标图像的宽 * @param destH 目标图像的高 * @return 处理后的推三矩阵数组 */ public static int[] imgScale(int[] inPixelsData, int srcW, int srcH, int destW, int destH) { double[][][] input3DData = processOneToThreeDeminsion(inPixelsData, srcH, srcW); int[][][] outputThreeDeminsionData = new int[destH][destW][4]; double[][] tempPixels = new double[4][4]; float rowRatio = ((float)srcH)/((float)destH); float colRatio = ((float)srcW)/((float)destW); srcWidth = srcW; srcHeight = srcH; for(int row=0; row= srcWidth) { col = srcWidth - 1; } if(col < 0) { col = 0; } if(row >= srcHeight) { row = srcHeight - 1; } if(row < 0) { row = 0; } return input3DData[(int)row][(int)col][index]; } private static int getPixelValue(double pixelValue) { return pixelValue < 0 ? 0: pixelValue >255.0d ?255:(int)pixelValue; } private static void updateCoefficients (double[][] p) { a00 = p[1][1]; a01 = -.5*p[1][0] + .5*p[1][2]; a02 = p[1][0] - 2.5*p[1][1] + 2*p[1][2] - .5*p[1][3]; a03 = -.5*p[1][0] + 1.5*p[1][1] - 1.5*p[1][2] + .5*p[1][3]; a10 = -.5*p[0][1] + .5*p[2][1]; a11 = .25*p[0][0] - .25*p[0][2] - .25*p[2][0] + .25*p[2][2]; a12 = -.5*p[0][0] + 1.25*p[0][1] - p[0][2] + .25*p[0][3] + .5*p[2][0] - 1.25*p[2][1] + p[2][2] - .25*p[2][3]; a13 = .25*p[0][0] - .75*p[0][1] + .75*p[0][2] - .25*p[0][3] - .25*p[2][0] + .75*p[2][1] - .75*p[2][2] + .25*p[2][3]; a20 = p[0][1] - 2.5*p[1][1] + 2*p[2][1] - .5*p[3][1]; a21 = -.5*p[0][0] + .5*p[0][2] + 1.25*p[1][0] - 1.25*p[1][2] - p[2][0] + p[2][2] + .25*p[3][0] - .25*p[3][2]; a22 = p[0][0] - 2.5*p[0][1] + 2*p[0][2] - .5*p[0][3] - 2.5*p[1][0] + 6.25*p[1][1] - 5*p[1][2] + 1.25*p[1][3] + 2*p[2][0] - 5*p[2][1] + 4*p[2][2] - p[2][3] - .5*p[3][0] + 1.25*p[3][1] - p[3][2] + .25*p[3][3]; a23 = -.5*p[0][0] + 1.5*p[0][1] - 1.5*p[0][2] + .5*p[0][3] + 1.25*p[1][0] - 3.75*p[1][1] + 3.75*p[1][2] - 1.25*p[1][3] - p[2][0] + 3*p[2][1] - 3*p[2][2] + p[2][3] + .25*p[3][0] - .75*p[3][1] + .75*p[3][2] - .25*p[3][3]; a30 = -.5*p[0][1] + 1.5*p[1][1] - 1.5*p[2][1] + .5*p[3][1]; a31 = .25*p[0][0] - .25*p[0][2] - .75*p[1][0] + .75*p[1][2] + .75*p[2][0] - .75*p[2][2] - .25*p[3][0] + .25*p[3][2]; a32 = -.5*p[0][0] + 1.25*p[0][1] - p[0][2] + .25*p[0][3] + 1.5*p[1][0] - 3.75*p[1][1] + 3*p[1][2] - .75*p[1][3] - 1.5*p[2][0] + 3.75*p[2][1] - 3*p[2][2] + .75*p[2][3] + .5*p[3][0] - 1.25*p[3][1] + p[3][2] - .25*p[3][3]; a33 = .25*p[0][0] - .75*p[0][1] + .75*p[0][2] - .25*p[0][3] - .75*p[1][0] + 2.25*p[1][1] - 2.25*p[1][2] + .75*p[1][3] + .75*p[2][0] - 2.25*p[2][1] + 2.25*p[2][2] - .75*p[2][3] - .25*p[3][0] + .75*p[3][1] - .75*p[3][2] + .25*p[3][3]; } private static double getValue (double x, double y) { double x2 = x * x; double x3 = x2 * x; double y2 = y * y; double y3 = y2 * y; return (a00 + a01 * y + a02 * y2 + a03 * y3) + (a10 + a11 * y + a12 * y2 + a13 * y3) * x + (a20 + a21 * y + a22 * y2 + a23 * y3) * x2 + (a30 + a31 * y + a32 * y2 + a33 * y3) * x3; } /* The purpose of this method is to convert the data in the 3D array of ints back into
* the 1d array of type int.
* */ private static int[] convertToOneDim(int[][][] data, int imgCols, int imgRows) { // Create the 1D array of type int to be populated with pixel data int[] oneDPix = new int[imgCols * imgRows * 4]; // Move the data into the 1D array. Note the // use of the bitwise OR operator and the // bitwise left-shift operators to put the // four 8-bit bytes into each int. for (int row = 0, cnt = 0; row < imgRows; row++) { for (int col = 0; col < imgCols; col++) { oneDPix[cnt] = ((data[row][col][0] << 24) & 0xFF000000) | ((data[row][col][1] << 16) & 0x00FF0000) | ((data[row][col][2] << 8) & 0x0000FF00) | ((data[row][col][3]) & 0x000000FF); cnt++; }// end for loop on col }// end for loop on row return oneDPix; }// end convertToOneDim private static double [][][] processOneToThreeDeminsion(int[] oneDPix2, int imgRows, int imgCols) { double[][][] tempData = new double[imgRows][imgCols][4]; for(int row=0; row> 24) & 0xFF; // alpha tempData[row][col][1] = (aRow[col] >> 16) & 0xFF; // red tempData[row][col][2] = (aRow[col] >> 8) & 0xFF; // green tempData[row][col][3] = (aRow[col]) & 0xFF; // blue } } return tempData; } public static void main(String args[]) throws IOException { BufferedImage img = ImageIO.read(new File("E:\\test\\123.jpg")); int imageType = img.getType(); int w = img.getWidth(); int h = img.getHeight(); int[] pix = new int[w*h]; pix = img.getRGB(0, 0, w, h, pix, 0, w); int targetW=w*10;int targetH=h*10;int[] newArray =imgScale(pix, w, h, targetW, targetH);System.out.println(imageType);File out = new File("e:\\abc.jpg"); if (!out.exists()) out.createNewFile(); OutputStream output = new FileOutputStream(out); BufferedImage imgOut = new BufferedImage(targetW, targetH, imageType); imgOut.setRGB(0, 0, targetW, targetH, newArray, 0, targetW); ImageIO.write(imgOut, "jpg", output);}} 下面是java自带的图片压缩方法
package com.util;import java.awt.Image;
import java.awt.image.BufferedImage;
import java.io.File;
import java.io.FileOutputStream;
import java.io.IOException;import javax.imageio.ImageIO;import com.sun.image.codec.jpeg.JPEGCodec;
import com.sun.image.codec.jpeg.JPEGImageEncoder;public class ztest{public static void main(String[] args) {reduceImg("e:\\1.jpg", "e:\\test\\123.jpg",10);}public static void reduceImg(String imgsrc, String imgdist,int times) { try { File srcfile = new File(imgsrc); if (!srcfile.exists()) { return; } Image src = javax.imageio.ImageIO.read(srcfile); BufferedImage img = ImageIO.read(new File(imgsrc)); int distW=img.getWidth()/times;int distH=img.getHeight()/times;System.out.println(distW);System.out.println(distH);BufferedImage tag= new BufferedImage( distW, distH,img.getType()); //image.SCALE_SMOOTH //平滑优先//image.SCALE_FAST//速度优先// image.SCALE_AREA_AVERAGING //区域均值// image.SCALE_REPLICATE //像素复制型缩放// image.SCALE_DEFAULT //默认缩放模式tag.getGraphics().drawImage(src.getScaledInstance(distW, distH, Image.SCALE_SMOOTH), 0, 0, null); FileOutputStream out = new FileOutputStream(imgdist); JPEGImageEncoder encoder = JPEGCodec.createJPEGEncoder(out); encoder.encode(tag); out.close(); } catch (IOException ex) { ex.printStackTrace(); } } }转载于:https://my.oschina.net/angleshuai/blog/354892
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