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  • 哈夫曼编码—文件的压缩与解压(Java)

    哈夫曼编码—文件的压缩与解压(Java)

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    压缩代码

    package cn.guizimo.huffmancode;
    
    import java.io.*;
    import java.util.*;
    
    /**
     * @author guizimo
     * @date 2020/8/8 11:55 上午
     */
    public class HuffmanCode {
        public static void main(String[] args) {
            String zipFile = "d://123.png";
            String dstFile = "d://123.zip";
            zipFile(zipFile, dstFile);;
            System.out.println("压缩成功!");
        }
    
        public static void unZipFile(String zipFile, String dstFile) {
            InputStream is = null;
            ObjectInputStream ois = null;
            OutputStream os = null;
            try {
                is = new FileInputStream(zipFile);
                ois = new ObjectInputStream(is);
                byte[] huffmanBytes = (byte[]) ois.readObject();
                Map<Byte, String> huffmanCodes = (Map<Byte, String>) ois.readObject();
    
                byte[] bytes = huffmanUnzip(huffmanCodes, huffmanBytes);
                os = new FileOutputStream(dstFile);
                os.write(bytes);
            } catch (Exception e) {
                System.out.println(e.getMessage());
            } finally {
                try {
                    os.close();
                    ois.close();
                    is.close();
                } catch (Exception e2) {
                    System.out.println(e2.getMessage());
                }
            }
        }
    
        public static void zipFile(String srcFile, String dstFile) {
            OutputStream os = null;
            ObjectOutputStream oos = null;
            FileInputStream is = null;
            try {
                is = new FileInputStream(srcFile);
                byte[] b = new byte[is.available()];
                is.read(b);
                byte[] huffmanBytes = huffmanZip(b);
                os = new FileOutputStream(dstFile);
                oos = new ObjectOutputStream(os);
                oos.writeObject(huffmanBytes);
                oos.writeObject(huffmanCodes);
            } catch (Exception e) {
                System.out.println(e.getMessage());
            } finally {
                try {
                    is.close();
                    oos.close();
                    os.close();
                } catch (Exception e) {
                    System.out.println(e.getMessage());
                }
            }
        }
    
        //哈夫曼解压
        private static byte[] huffmanUnzip(Map<Byte, String> huffmanCodes, byte[] huffmanBytes) {
            StringBuilder stringBuilder = new StringBuilder();
            for (int i = 0; i < huffmanBytes.length; i++) {
                byte b = huffmanBytes[i];
                boolean flag = (i == huffmanBytes.length - 1);
                stringBuilder.append(byteToBitString(!flag, b));
            }
    
            //解码,反向编码表
            HashMap<String, Byte> map = new HashMap<>();
            for (Map.Entry<Byte, String> entry : huffmanCodes.entrySet()) {
                map.put(entry.getValue(), entry.getKey());
            }
    
            //根据编码扫描到对应的ASCLL码对应的字符
            List<Byte> list = new ArrayList<>();
            for (int i = 0; i < stringBuilder.length(); ) {
                int count = 1;
                boolean flag = true;
                Byte b = null;
                while (flag) {
                    String key = stringBuilder.substring(i, i + count);
                    b = map.get(key);
                    if (b == null) {
                        count++;
                    } else {
                        flag = false;
                    }
                }
                list.add(b);
                i += count;
            }
    
            byte b[] = new byte[list.size()];
            for (int i = 0; i < b.length; i++) {
                b[i] = list.get(i);
            }
            return b;
    
        }
    
        //转化二进制
        private static String byteToBitString(boolean flag, byte b) {
            int temp = b;
            if (flag) {
                temp |= 256;
            }
            String str = Integer.toBinaryString(temp);
            if (flag) {
                return str.substring(str.length() - 8);
            } else {
                return str;
            }
        }
    
    
        //哈夫曼编码压缩
        private static byte[] huffmanZip(byte[] bytes) {
            List<Node> nodes = getNodes(bytes);
            //哈夫曼树
            Node huffmanTree = createHuffmanTree(nodes);
            //哈夫曼编码表
            Map<Byte, String> huffmanCodes = getCodes(huffmanTree);
            //哈夫曼编码
            byte[] zip = zip(bytes, huffmanCodes);
            return zip;
        }
    
        //压缩
        private static byte[] zip(byte[] bytes, Map<Byte, String> huffmanCodes) {
            StringBuilder stringBuilder = new StringBuilder();
            for (byte b : bytes) {
                stringBuilder.append(huffmanCodes.get(b));
            }
            int len;
            if (stringBuilder.length() % 8 == 0) {
                len = stringBuilder.length() / 8;
            } else {
                len = stringBuilder.length() / 8 + 1;
            }
            byte[] by = new byte[len];
            int index = 0;
            for (int i = 0; i < stringBuilder.length(); i += 8) {
                String strByte;
                if (i + 8 > stringBuilder.length()) {
                    strByte = stringBuilder.substring(i);
                    by[index] = (byte) Integer.parseInt(strByte, 2);
                    index++;
                } else {
                    strByte = stringBuilder.substring(i, i + 8);
                    by[index] = (byte) Integer.parseInt(strByte, 2);
                    index++;
                }
            }
            return by;
        }
    
        static Map<Byte, String> huffmanCodes = new HashMap<Byte, String>();
        static StringBuilder stringBuilder = new StringBuilder();
    
        //重载
        private static Map<Byte, String> getCodes(Node root) {
            if (root == null) {
                return null;
            }
            getCodes(root.left, "0", stringBuilder);
            getCodes(root.right, "1", stringBuilder);
            return huffmanCodes;
        }
    
        //获取哈夫曼编码
        private static void getCodes(Node node, String code, StringBuilder stringBuilder) {
            StringBuilder builder = new StringBuilder(stringBuilder);
            builder.append(code);
            if (node != null) {
                if (node.data == null) {  //递归
                    getCodes(node.left, "0", builder);
                    getCodes(node.right, "1", builder);
                } else {
                    huffmanCodes.put(node.data, builder.toString());
                }
            }
        }
    
        //前序遍历
        private static void preOrder(Node root) {
            if (root != null) {
                root.preOrder();
            } else {
                System.out.println("哈夫曼树为空");
            }
        }
    
        //生成哈夫曼树
        private static Node createHuffmanTree(List<Node> nodes) {
            while (nodes.size() > 1) {
                Collections.sort(nodes);
    
                Node leftNode = nodes.get(0);
                Node rightNode = nodes.get(1);
    
                Node parent = new Node(null, leftNode.weight + rightNode.weight);
                parent.left = leftNode;
                parent.right = rightNode;
    
                nodes.remove(leftNode);
                nodes.remove(rightNode);
                nodes.add(parent);
            }
            return nodes.get(0);
        }
    
        //接收字节数组
        private static List<Node> getNodes(byte[] bytes) {
            List<Node> nodes = new ArrayList<>();
            Map<Byte, Integer> counts = new HashMap<>();
            for (byte b : bytes) {
                Integer count = counts.get(b);
                if (count == null) {
                    counts.put(b, 1);
                } else {
                    counts.put(b, count + 1);
                }
            }
            //遍历map
            for (Map.Entry<Byte, Integer> entry : counts.entrySet()) {
                nodes.add(new Node(entry.getKey(), entry.getValue()));
            }
            return nodes;
        }
    }
    
    class Node implements Comparable<Node> {
        Byte data;
        int weight; //字符出现的次数
        Node left;
        Node right;
    
        //前序遍历
        public void preOrder() {
            System.out.println(this);
            if (this.left != null) {
                this.left.preOrder();
            }
            if (this.right != null) {
                this.right.preOrder();
            }
        }
    
        public Node(Byte data, int weight) {
            this.data = data;
            this.weight = weight;
        }
    
        @Override
        public int compareTo(Node o) {
            //从小到大排序
            return this.weight - o.weight;
        }
    
        @Override
        public String toString() {
            return "Node{" +
                    "data=" + data +
                    ", weight=" + weight +
                    '}';
        }
    }
    
    

    解压代码

    package cn.guizimo.huffmancode;
    
    import java.io.*;
    import java.util.*;
    
    /**
     * @author guizimo
     * @date 2020/8/8 11:55 上午
     */
    public class HuffmanCode {
        public static void main(String[] args) {
            String zipFile = "d://Uninstall.zip";
            String dstFile = "d://Uninstall2.xml";
            unZipFile(zipFile, dstFile);
            System.out.println("解压成功!");
        }
    
        public static void unZipFile(String zipFile, String dstFile) {
            InputStream is = null;
            ObjectInputStream ois = null;
            OutputStream os = null;
            try {
                is = new FileInputStream(zipFile);
                ois = new ObjectInputStream(is);
                byte[] huffmanBytes = (byte[]) ois.readObject();
                Map<Byte, String> huffmanCodes = (Map<Byte, String>) ois.readObject();
    
                byte[] bytes = huffmanUnzip(huffmanCodes, huffmanBytes);
                os = new FileOutputStream(dstFile);
                os.write(bytes);
            } catch (Exception e) {
                System.out.println(e.getMessage());
            } finally {
                try {
                    os.close();
                    ois.close();
                    is.close();
                } catch (Exception e2) {
                    System.out.println(e2.getMessage());
                }
            }
        }
    
        public static void zipFile(String srcFile, String dstFile) {
            OutputStream os = null;
            ObjectOutputStream oos = null;
            FileInputStream is = null;
            try {
                is = new FileInputStream(srcFile);
                byte[] b = new byte[is.available()];
                is.read(b);
                byte[] huffmanBytes = huffmanZip(b);
                os = new FileOutputStream(dstFile);
                oos = new ObjectOutputStream(os);
                oos.writeObject(huffmanBytes);
                oos.writeObject(huffmanCodes);
            } catch (Exception e) {
                System.out.println(e.getMessage());
            } finally {
                try {
                    is.close();
                    oos.close();
                    os.close();
                } catch (Exception e) {
                    System.out.println(e.getMessage());
                }
            }
        }
    
        //哈夫曼解压
        private static byte[] huffmanUnzip(Map<Byte, String> huffmanCodes, byte[] huffmanBytes) {
            StringBuilder stringBuilder = new StringBuilder();
            for (int i = 0; i < huffmanBytes.length; i++) {
                byte b = huffmanBytes[i];
                boolean flag = (i == huffmanBytes.length - 1);
                stringBuilder.append(byteToBitString(!flag, b));
            }
    
            //解码,反向编码表
            HashMap<String, Byte> map = new HashMap<>();
            for (Map.Entry<Byte, String> entry : huffmanCodes.entrySet()) {
                map.put(entry.getValue(), entry.getKey());
            }
    
            //根据编码扫描到对应的ASCLL码对应的字符
            List<Byte> list = new ArrayList<>();
            for (int i = 0; i < stringBuilder.length(); ) {
                int count = 1;
                boolean flag = true;
                Byte b = null;
                while (flag) {
                    String key = stringBuilder.substring(i, i + count);
                    b = map.get(key);
                    if (b == null) {
                        count++;
                    } else {
                        flag = false;
                    }
                }
                list.add(b);
                i += count;
            }
    
            byte b[] = new byte[list.size()];
            for (int i = 0; i < b.length; i++) {
                b[i] = list.get(i);
            }
            return b;
    
        }
    
        //转化二进制
        private static String byteToBitString(boolean flag, byte b) {
            int temp = b;
            if (flag) {
                temp |= 256;
            }
            String str = Integer.toBinaryString(temp);
            if (flag) {
                return str.substring(str.length() - 8);
            } else {
                return str;
            }
        }
    
    
        //哈夫曼编码压缩
        private static byte[] huffmanZip(byte[] bytes) {
            List<Node> nodes = getNodes(bytes);
            //哈夫曼树
            Node huffmanTree = createHuffmanTree(nodes);
            //哈夫曼编码表
            Map<Byte, String> huffmanCodes = getCodes(huffmanTree);
            //哈夫曼编码
            byte[] zip = zip(bytes, huffmanCodes);
            return zip;
        }
    
        //压缩
        private static byte[] zip(byte[] bytes, Map<Byte, String> huffmanCodes) {
            StringBuilder stringBuilder = new StringBuilder();
            for (byte b : bytes) {
                stringBuilder.append(huffmanCodes.get(b));
            }
            int len;
            if (stringBuilder.length() % 8 == 0) {
                len = stringBuilder.length() / 8;
            } else {
                len = stringBuilder.length() / 8 + 1;
            }
            byte[] by = new byte[len];
            int index = 0;
            for (int i = 0; i < stringBuilder.length(); i += 8) {
                String strByte;
                if (i + 8 > stringBuilder.length()) {
                    strByte = stringBuilder.substring(i);
                    by[index] = (byte) Integer.parseInt(strByte, 2);
                    index++;
                } else {
                    strByte = stringBuilder.substring(i, i + 8);
                    by[index] = (byte) Integer.parseInt(strByte, 2);
                    index++;
                }
            }
            return by;
        }
    
        static Map<Byte, String> huffmanCodes = new HashMap<Byte, String>();
        static StringBuilder stringBuilder = new StringBuilder();
    
        //重载
        private static Map<Byte, String> getCodes(Node root) {
            if (root == null) {
                return null;
            }
            getCodes(root.left, "0", stringBuilder);
            getCodes(root.right, "1", stringBuilder);
            return huffmanCodes;
        }
    
        //获取哈夫曼编码
        private static void getCodes(Node node, String code, StringBuilder stringBuilder) {
            StringBuilder builder = new StringBuilder(stringBuilder);
            builder.append(code);
            if (node != null) {
                if (node.data == null) {  //递归
                    getCodes(node.left, "0", builder);
                    getCodes(node.right, "1", builder);
                } else {
                    huffmanCodes.put(node.data, builder.toString());
                }
            }
        }
    
        //前序遍历
        private static void preOrder(Node root) {
            if (root != null) {
                root.preOrder();
            } else {
                System.out.println("哈夫曼树为空");
            }
        }
    
        //生成哈夫曼树
        private static Node createHuffmanTree(List<Node> nodes) {
            while (nodes.size() > 1) {
                Collections.sort(nodes);
    
                Node leftNode = nodes.get(0);
                Node rightNode = nodes.get(1);
    
                Node parent = new Node(null, leftNode.weight + rightNode.weight);
                parent.left = leftNode;
                parent.right = rightNode;
    
                nodes.remove(leftNode);
                nodes.remove(rightNode);
                nodes.add(parent);
            }
            return nodes.get(0);
        }
    
        //接收字节数组
        private static List<Node> getNodes(byte[] bytes) {
            List<Node> nodes = new ArrayList<>();
            Map<Byte, Integer> counts = new HashMap<>();
            for (byte b : bytes) {
                Integer count = counts.get(b);
                if (count == null) {
                    counts.put(b, 1);
                } else {
                    counts.put(b, count + 1);
                }
            }
            //遍历map
            for (Map.Entry<Byte, Integer> entry : counts.entrySet()) {
                nodes.add(new Node(entry.getKey(), entry.getValue()));
            }
            return nodes;
        }
    }
    
    class Node implements Comparable<Node> {
        Byte data;
        int weight; //字符出现的次数
        Node left;
        Node right;
    
        //前序遍历
        public void preOrder() {
            System.out.println(this);
            if (this.left != null) {
                this.left.preOrder();
            }
            if (this.right != null) {
                this.right.preOrder();
            }
        }
    
        public Node(Byte data, int weight) {
            this.data = data;
            this.weight = weight;
        }
    
        @Override
        public int compareTo(Node o) {
            //从小到大排序
            return this.weight - o.weight;
        }
    
        @Override
        public String toString() {
            return "Node{" +
                    "data=" + data +
                    ", weight=" + weight +
                    '}';
        }
    }
    
    

    感谢

    尚硅谷

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  • 原文地址:https://www.cnblogs.com/guizimo/p/13457996.html
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