package com.ltkj.web.controller.barcode;
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import cn.hutool.extra.qrcode.BufferedImageLuminanceSource;
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import com.google.zxing.*;
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import com.google.zxing.common.HybridBinarizer;
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import javax.imageio.ImageIO;
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import java.awt.*;
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import java.awt.image.BufferedImage;
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import java.io.File;
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import java.io.IOException;
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import java.util.HashMap;
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import java.util.Map;
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public class QRCodeUtils {
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/**
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* @Description: 基于图片路径
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*/
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public static String deEncodeByPath(String path) {
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String content = null;
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BufferedImage image;
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try {
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image = ImageIO.read(new File(path));
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//调整图片对比度（提高偏暗环境下二维码识别成功率）
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image = imgColorContrast(image, 100);
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LuminanceSource source = new BufferedImageLuminanceSource(image);
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Binarizer binarizer = new HybridBinarizer(source);
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BinaryBitmap binaryBitmap = new BinaryBitmap(binarizer);
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Map<DecodeHintType, Object> hints = new HashMap<>();
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hints.put(DecodeHintType.CHARACTER_SET, "UTF-8");
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Result result = new MultiFormatReader().decode(binaryBitmap, hints);//解码
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content = result.getText();
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} catch (NotFoundException e) {
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//这里判断如果识别不了带LOGO的图片，重新添加上一个属性
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try {
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image = ImageIO.read(new File(path));
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image = imgColorContrast(image, 100);
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LuminanceSource source = new BufferedImageLuminanceSource(image);
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Binarizer binarizer = new HybridBinarizer(source);
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BinaryBitmap binaryBitmap = new BinaryBitmap(binarizer);
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Map<DecodeHintType, Object> hints = new HashMap<DecodeHintType, Object>();
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//设置编码格式
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hints.put(DecodeHintType.CHARACTER_SET, "UTF-8");
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//设置优化精度
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hints.put(DecodeHintType.TRY_HARDER, Boolean.TRUE);
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//设置复杂模式开启（使用这种方式就可以识别微信的二维码了）
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hints.put(DecodeHintType.PURE_BARCODE,Boolean.TYPE);
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Result result = new MultiFormatReader().decode(binaryBitmap, hints);//解码
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content = result.getText();
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} catch (NotFoundException en) {
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return null;
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} catch (IOException e1) {
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return null;
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}
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} catch (IOException e) {
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return null;
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}
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return content;
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}
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/**
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* @Description: 基于BufferedImage
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*/
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public static String deEncodeByBufferedImage(BufferedImage image) {
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String content = null;
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try {
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image = imgColorContrast(image, 100);
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LuminanceSource source = new BufferedImageLuminanceSource(image);
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Binarizer binarizer = new HybridBinarizer(source);
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BinaryBitmap binaryBitmap = new BinaryBitmap(binarizer);
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Map<DecodeHintType, Object> hints = new HashMap<>();
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hints.put(DecodeHintType.CHARACTER_SET, "UTF-8");
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Result result = new MultiFormatReader().decode(binaryBitmap, hints);//解码
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content = result.getText();
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} catch (NotFoundException e) {
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//这里判断如果识别不了带LOGO的图片，重新添加上一个属性
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try {
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image = imgColorContrast(image, 100);
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LuminanceSource source = new BufferedImageLuminanceSource(image);
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Binarizer binarizer = new HybridBinarizer(source);
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BinaryBitmap binaryBitmap = new BinaryBitmap(binarizer);
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Map<DecodeHintType, Object> hints = new HashMap<DecodeHintType, Object>();
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//设置编码格式
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hints.put(DecodeHintType.CHARACTER_SET, "UTF-8");
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//设置优化精度
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hints.put(DecodeHintType.TRY_HARDER, Boolean.TRUE);
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//设置复杂模式开启（这种方式就可以识别微信的二维码了）
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hints.put(DecodeHintType.PURE_BARCODE,Boolean.TYPE);
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Result result = new MultiFormatReader().decode(binaryBitmap, hints);//解码;
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content = result.getText();
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} catch (NotFoundException en) {
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return null;
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}
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}
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return content;
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}
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/**
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* @Description: 调整图片对比度（提高偏暗环境下二维码识别成功率）
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*/
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public static BufferedImage imgColorContrast(BufferedImage imgsrc, int contrast) {
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try {
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int contrast_average = 128;
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//创建一个不带透明度的图片
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BufferedImage back=new BufferedImage(imgsrc.getWidth(), imgsrc.getHeight(),BufferedImage.TYPE_INT_RGB);
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int width = imgsrc.getWidth();
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int height = imgsrc.getHeight();
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int pix;
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for (int i = 0; i < height; i++) {
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for (int j = 0; j < width; j++) {
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int pixel = imgsrc.getRGB(j, i);
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Color color = new Color(pixel);
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if (color.getRed() < contrast_average)
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{
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pix = color.getRed()- Math.abs(contrast);
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if (pix < 0) {
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pix = 0;
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}
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}
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else
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{
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pix = color.getRed() + Math.abs(contrast);
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if (pix > 255) {pix = 255;}
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}
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int red= pix;
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if (color.getGreen() < contrast_average)
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{
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pix = color.getGreen()- Math.abs(contrast);
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if (pix < 0) {pix = 0;}
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}
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else
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{
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pix = color.getGreen() + Math.abs(contrast);
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if (pix > 255) {pix = 255;}
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}
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int green= pix;
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if (color.getBlue() < contrast_average)
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{
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pix = color.getBlue()- Math.abs(contrast);
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if (pix < 0) {pix = 0;}
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}
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else
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{
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pix = color.getBlue() + Math.abs(contrast);
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if (pix > 255) pix = 255;
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}
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int blue= pix;
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color = new Color(red,green,blue);
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int x=color.getRGB();
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back.setRGB(j,i,x);
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}
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}
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return back;
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} catch (Exception e) {
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e.printStackTrace();
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return null;
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}
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}
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}
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