How to create jpeg file with raw data - java

I have the raw data and want to convert and generate a jpeg file, I do that as below, but it does not work. The generated file could not be opened well.
String 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
InputStream is = new ByteArrayInputStream( photo.getBytes());
FileOutputStream out = new FileOutputStream("C:\\test.jpg");
byte[] data = new byte[1024];
int readBytes = 0;
while ((readBytes = is.read(data)) > 0) {
out.write(data,0,readBytes);
}
out.flush();
out.close();
is.close();
What if I get the string like that, it looks like not the hex
String photo = "/9j/4AAQSkZJRgABAgEASABIAAD/7gAOQWRvYmUAZAAAAAAB/+EUhkV4aWYAAE1NACoAAAAIAAsBDwACAAAABgAAAJIBEAACAAAAFAAAAJgBEgADAAAAAQ....."

Just remove the 0x with substring and convert hex string to byte array :
try {
String photo =
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
InputStream is = new ByteArrayInputStream(hexStringToByteArray(photo.substring(2)));
FileOutputStream out = new FileOutputStream("/home/bmartel/test.jpg");
byte[] data = new byte[1024];
int readBytes = 0;
while ((readBytes = is.read(data)) > 0) {
out.write(data, 0, readBytes);
}
out.flush();
out.close();
is.close();
} catch (IOException e) {
e.printStackTrace();
}
With hexStringToByteArray picked here :
public static byte[] hexStringToByteArray(String s) {
int len = s.length();
byte[] data = new byte[len / 2];
for (int i = 0; i < len; i += 2) {
data[i / 2] = (byte) ((Character.digit(s.charAt(i), 16) << 4)
+ Character.digit(s.charAt(i + 1), 16));
System.out.print(data[i / 2] & 0xFF);
System.out.print(" ");
}
return data;
}
For Base64 data use :
Base64 base64 = new Base64();
byte[] data = base64.decode(photo);

Related

Android ZipInputStream ZipEntry does not read to end of file

I have a zipped flie containing a json file and some base64 decoded images, I use the following code to read the data from it:
JSONArray model = new JSONArray();
ZipInputStream zis = new ZipInputStream(new BufferedInputStream(inputStream));
ZipEntry zipEntry;
while ((zipEntry = zis.getNextEntry()) != null) {
if (zipEntry.getName().equals("model.json")) {
long size = (int) zipEntry.getSize();
if (size < 0) {
size = 0xffffffffl + size;
}
byte[] buffer = new byte[(int) size];
int read;
while ((read = zis.read(buffer, 0, (int) size)) > 0) {
Log.i("model", new String(buffer, "UTF-8"));
model = new JSONArray(new String(buffer, "UTF-8"));
}
} else {
long size = (int) zipEntry.getSize();
if (size < 0) {
size = 0xffffffffl + size;
}
byte[] buffer = new byte[(int) size];
int read;
while ((read = zis.read(buffer, 0, (int) size)) > 0) {
Log.i("bitmap", new String(buffer, "UTF-8"));
byte[] decodedMap = Base64.decode(new String(buffer, "UTF-8"), Base64.DEFAULT);
Bitmap bitmap = BitmapFactory.decodeByteArray(decodedMap, 0, decodedMap.length);
Map map = new Map(zipEntry.getName().substring(0, zipEntry.getName().indexOf(".")), bitmap, id, level);
SharedData.maps.add(map);
}
}
zis.closeEntry();
}
zis.close();
// This is not the problem:
the problem is that the zis.read(buffer, 0, (int) size) does not read all data from the file so I get a JSONException
Edit:
The problem is not in the reading data from stream it reads all data but I think the problem is encoding this is the JSONException:
09-19 14:30:23.216: W/System.err(7524): org.json.JSONException: Unterminated array at character 2959607 of
the 2959607 is the length of the String
the problem was in org.JSONArray it could not parse large string, I replaced it with GSon now it works fine

How to properly split a file into byte arrays in Android

I have a file that I intend to send over the network, so I tried to split it into byte arrays:
File myFile = new File(selectedImagePath);
byte[] fileByteArray = new byte[(int) myFile.length()];
Log.i("MyApp", " File byte size: " + fileByteArray.length);
List<byte[]> listOfBytes = new ArrayList<byte[]>();
int pos = 0;
while (pos < fileByteArray.length)
{
int length = pos + size > fileByteArray.length ? fileByteArray.length - pos : size;
byte[] act_byte = new byte[length];
Log.i("MyApp","Length: "+length);
System.arraycopy(fileByteArray, pos, act_byte, 0, length);
pos += length;
listOfBytes.add(act_byte);
}
List<byte[]> sending=new ArrayList<byte[]>();
for(byte[] ba:listOfBytes)
{
byte[] arr = new byte[ba.length + 2];
arr[0] = new Integer(W).byteValue();
arr[1] = new Integer(Z).byteValue();
System.arraycopy(ba, 0, arr, 2, ba.length);
sending.add(arr);
}
Let the file size be 10000 bytes.
On the receiving size, I get 10000 bytes, yet the file isn't readable.
byte[] message = new byte[size + 2];
DatagramPacket p = new DatagramPacket(message, message.length);
s = new DatagramSocket(SERVERPORT);
List<byte[]> incomingBA=new ArrayList<byte[]>();
while (true)
{
s.receive(p);
int a=new Byte(p.getData()[0]).intValue();
int b=new Byte(p.getData()[1]).intValue();
int actualSize = p.getLength();
byte[] actualBA=new byte[actualSize-2];
System.arraycopy(p.getData(),2,actualBA,0,actualBA.length);
incomingBA.add(actualBA);
if(X==22)
{
byte[] result=concatenateByteArrays(incomingBA);
FileOutputStream fos = new FileOutputStream("/mnt/sdcard/Download/X.jpg");
//BufferedOutputStream bos = new BufferedOutputStream(fos);
fos.write(result,0,result.length);
fos.flush();
fos.close();
incomingBA.clear();
}
public byte[] concatenateByteArrays(List<byte[]> blocks) {
ByteArrayOutputStream os = new ByteArrayOutputStream();
for (byte[] b : blocks) {
os.write(b, 0, b.length);
}
return os.toByteArray();
}
What did I do wrong?
I forgot to read the content of the file into the byte array, so I needed to use this code:
FileInputStream fileInputStream = new FileInputStream(myFile);
fileInputStream.read(fileByteArray);
fileInputStream.close();

Convert Byte array to file in chunks

I know that there's a way of converting a file to byte array in chunks, here's a sample code:
InputStream inputStream = new FileInputStream(videoFile);
ByteArrayOutputStream bos = new ByteArrayOutputStream();
byte[] b = new byte[1024];
int bytesRead =0;
while ((bytesRead = inputStream.read(b)) != -1)
{
bos.write(b, 0, bytesRead);
}
I'm looking for the opposite: a way of converting a byte array into a file in chunks. I didn't find any example of doing it in chunks.
You just have to use either the write(byte[]) or write(byte[],int,int) methods from the FileOutputStream class.
byte[] to file:
FileOutputStream fop = null; File file;
try {
file = new File(filePath);
fop = new FileOutputStream(file, true);
fop.write(chunk);
fop.flush();
fop.close();
System.out.println("Done");
} catch (IOException e) {
e.printStackTrace();
} finally {
try {
if (fop != null) {
fop.close();
}
} catch (IOException e) {
e.printStackTrace();
}
}
Try this for file to byte[]:
InputStream is = new FileInputStream(file);
int length = (int) file.length();
int take = 262144;//size of your chunk
byte[] bytes = new byte[take];
int offset=0;
int a = 0;
do {
a = is.read(bytes, 0, take);
offset += a;
//And you can add here each chunk created in to a list, etc, etc.
//encode to base 64 this is extra :)
String str = Base64.encodeToString(bytes, Base64.DEFAULT);
} while (offset < length);=
is.close();
is=null;
Consider generalizing the problem.
This method copies data in chunks:
public static <T extends OutputStream> T copy(InputStream in, T out)
throws IOException {
byte[] buffer = new byte[1024];
for (int r = in.read(buffer); r != -1; r = in.read(buffer)) {
out.write(buffer, 0, r);
}
return out;
}
This can then be used in both reading to and from byte arrays:
try (InputStream in = new FileInputStream("original.txt");
OutputStream out = new FileOutputStream("copy.txt")) {
byte[] contents = copy(in, new ByteArrayOutputStream()).toByteArray();
copy(new ByteArrayInputStream(contents), out);
}

Encrypt byte array using vigenere cipher in java

I have to encrypt some file (jpg) using vigenere cipher. I wrote some code, but after encryption and decryption my file is corrupted. The first 1/4 of image displays okay, but the rest of it is corrupted. Here is my code:
#Override
public byte[] encryptFile(byte[] file, String key) {
char[] keyChars = key.toCharArray();
byte[] bytes = file;
for (int i = 0; i < file.length; i++) {
int keyNR = keyChars[i % keyChars.length] - 32;
int c = bytes[i] & 255;
if ((c >= 32) && (c <= 127)) {
int x = c - 32;
x = (x + keyNR) % 96;
bytes[i] = (byte) (x + 32);
}
}
return bytes;
}
#Override
public byte[] decryptFile(byte[] file, String key) {
char[] keyChars = key.toCharArray();
byte[] bytes = file;
for (int i = 0; i < file.length; i++) {
int keyNR = keyChars[i % keyChars.length] - 32;
int c = bytes[i] & 255;
if ((c >= 32) && (c <= 127)) {
int x = c - 32;
x = (x - keyNR + 96) % 96;
bytes[i] = (byte) (x + 32);
}
}
return bytes;
}
What did I do wrong?
EDIT:
reading and writing to file:
public void sendFile(String selectedFile, ICipher cipher, String key) {
try {
DataOutputStream outStream = new DataOutputStream(client
.getOutputStream());
outStream.flush();
File file = new File(selectedFile);
FileInputStream fileStream = new FileInputStream(file);
long fileSize = file.length();
long completed = 0;
long bytesLeft = fileSize - completed;
String msg = "SENDING_FILE:" + file.getName() + ":" + fileSize;
outStream.writeUTF(cipher.encryptMsg(msg, key));
while (completed < fileSize) {
int step = (int) (bytesLeft > 150000 ? 150000 : bytesLeft);
byte[] buffer = new byte[step];
fileStream.read(buffer);
buffer = cipher.encryptFile(buffer, key);
outStream.write(buffer);
completed += step;
bytesLeft = fileSize - completed;
}
outStream.writeUTF(cipher.encryptMsg("SEND_COMPLETE", key));
fileStream.close();
} catch (IOException e) {
e.printStackTrace();
}
}
private void downloadFile(String fileName, int fileSize,DataInputStream input,ICipher cipher, String key) {
try {
FileOutputStream outStream = new FileOutputStream("C:\\" + fileName);
int bytesRead = 0, counter = 0;
while (counter < fileSize) {
int step = (int) (fileSize > 150000 ? 150000 : fileSize);
byte[] buffer = new byte[step];
bytesRead = input.read(buffer);
if (bytesRead >= 0) {
buffer = cipher.decryptFile(buffer, key);
outStream.write(buffer, 0, bytesRead);
counter += bytesRead;
}
if (bytesRead < 1024) {
outStream.flush();
break;
}
}
Display.getDefault().syncExec(new Runnable() {
#Override
public void run() {
window.handleMessage("Download sucessfully");
}
});
outStream.close();
} catch (Exception e) {
Display.getDefault().syncExec(new Runnable() {
#Override
public void run() {
window.handleMessage("Error on downloading file!");
}
});
}
}
You encode the file in whatever chunks come from the disk I/O:
int step = (int) (bytesLeft > 150000 ? 150000 : bytesLeft);
byte[] buffer = new byte[step];
fileStream.read(buffer);
buffer = cipher.encryptFile(buffer, key);
But you decode the file in whatever chunks come from the network I/O:
bytesRead = input.read(buffer);
if (bytesRead >= 0) {
buffer = cipher.decryptFile(buffer, key);
outStream.write(buffer, 0, bytesRead);
counter += bytesRead;
}
These chunks are likely to disagree. The disk I/O may always give you full chunks (lucky for you), but the network I/O will likely give you packet-sized chunks (1500 bytes minus header).
The cipher should get an offset into the already encoded/decoded data (or encode/decode everything at once), and use that to shift the key appropriately, or this may happen:
original: ...LOREM IPSUM...
key : ...abCde abCde...
encoded : ...MQUIR JRVYR...
key : ...abCde Cdeab... <<note the key got shifted
decoded : ...LOREM GNQXP... <<output wrong after the first chunk.
Since the packet data size is (for Ethernet-sized TCP/IP packets) aligned at four bytes, a key of length four is likely to be always aligned.
another issue is that you are ignoring the number of bytes read from disk when uploading the file. While disk I/O is likely to always give you full-sized chunks (the file's likely to be memory-mapped or the underlying native API does provide this guarantee), nothing's taken for granted. Always use the amount of bytes actually read: bytesRead = fileStream.read(buffer);

Converting a Hex String to an image file [duplicate]

This question already has answers here:
Convert a string representation of a hex dump to a byte array using Java?
(25 answers)
Closed 5 years ago.
I have a requirement to read a Hex String with leading zeros which represents a JPEG file, from an xml file received and save it as an image file. The image data looks like
0000005000000050FF191818FF151715FF111413FF0E1...........................FF2A2322FF292221
In xml file The length of String between the tag is 51216 I read the Hex data in between the Photo tag as a String and Converted it to a byte[], and the using a FileOutputStream I am writing to a file. But when I try to open the image file it tells "the file appears to be damaged,corrupted or file is too large" I have tried many methods to save the image, but no success. I am listing the methods used below. Please help me out from this.
String photo="0000005000000050FF191818FF15"; //this is just a sample.The photo String actually contains the full Hex String which is 51216 long
//METHOD 1
String[] v = photo.split(" ");
byte[] arr = new byte[v.length];
int x = 0;
for(String val: v) {
arr[x++] = Integer.decode("0x" + val).byteValue();
}
FileOutputStream fos=new FileOutputStream("D:/Images/image6.jpg");
fos.write(arr);
fos.flush();
fos.close();
//METHOD 2
byte[] arr = new byte[photo.length()/2];
for ( int start = 0; start < photo.length(); start += 2 )
{
String thisByte = photo.substring(start, start+2);
arr[start/2] = Byte.parseByte(thisByte, 16);
}
FileOutputStream fos=new FileOutputStream("D:/Images/image6.jpg");
fos.write(arr);
fos.flush();
fos.close();
//METHOD 3
if ((photo.length() % 2) != 0)
throw new IllegalArgumentException("Input string must contain an even number of characters");
final byte result[] = new byte[photo.length()/2];
final char enc[] = photo.toCharArray();
for (int x = 0; x < enc.length; x += 2)
{
StringBuilder curr = new StringBuilder(2);
curr.append(enc[x]).append(enc[x + 1]);
result[x/2] = (byte) Integer.parseInt(curr.toString(), 16);
}
FileOutputStream fos=new FileOutputStream("D:/Images/image6.jpg");
fos.write(result);
fos.flush();
fos.close();
//METHOD 4
byte result[] = new byte[photo.length()/2];
char enc[] = photo.toUpperCase().toCharArray();
StringBuffer curr;
for (int x = 0; x < enc.length; x += 2)
{
curr = new StringBuffer("");
curr.append(String.valueOf(enc[x]));
curr.append(String.valueOf(enc[x + 1]));
result[x] = (byte) Integer.parseInt(curr.toString(), 16);
}
FileOutputStream fos=new FileOutputStream("D:/Images/image6.jpg");
fos.write(result);
fos.flush();
fos.close();
//METHOD 5
int len = photo.length();
byte[] data = new byte[len / 2];
for (int x = 0; x < len; x += 2)
{
data[x / 2] = (byte) ((Character.digit(photo.charAt(x), 16) << 4)
+ Character.digit(photo.charAt(x+1), 16));
}
FileOutputStream fos=new FileOutputStream("D:/Images/image6.jpg");
fos.write(data);
fos.flush();
fos.close();
//METHOD 6
byte[] bytes=new BigInteger(photo, 16).toByteArray();
FileOutputStream fos=new FileOutputStream("D:/Images/image6.jpg");
fos.write(bytes);
fos.flush();
fos.close();
//METHOD 7
byte[] bytes =DatatypeConverter.parseHexBinary(photo);
FileOutputStream fos=new FileOutputStream("D:/Images/image6.jpg");
fos.write(bytes);
fos.flush();
fos.close();
//METHOD 8
HexBinaryAdapter adapter = new HexBinaryAdapter();
byte[] bytes = adapter.unmarshal(photo);
FileOutputStream fos=new FileOutputStream("D:/Images/image6.png");
fos.write(bytes);
fos.flush();
fos.close();
//METHOD 9
byte data[] = new byte[photo.length()/2];
for(int x=0;i < photo.length();x+=2) {
data[x/2] = (Integer.decode("0x"+photo.charAt(x)+photo.charAt(x+1))).byteValue();
}
FileOutputStream fos=new FileOutputStream("D:/Images/image6.jpg");
fos.write(data);
fos.flush();
fos.close();
//METHOD 10
byte[] data = new byte[photo.length()/2];
for (int x=0;i<photo.length()/2;x++)
{
data[x] = (Integer.decode(
"0x"+photo.substring(x*2, (x+1)*2))).byteValue();
}
FileOutputStream fos=new FileOutputStream("D:/Images/image6.jpg");
fos.write(data);
fos.flush();
fos.close();
//METHOD 11
String hexVal ="0000005000000050FF";
//String hexVal = "0123456789ABCDEF";
byte[] out = new byte[photo.length() / 2];
int n = photo.length();
for( int x = 0; x < n; x += 2 ) {
int hn = hexVal.indexOf( photo.charAt( x ) );
int ln = hexVal.indexOf( photo.charAt( x + 1 ) );
out[x/2] = (byte)( ( hn << 4 ) | ln );
}
FileOutputStream fos=new FileOutputStream("D:/Images/image6.jpg");
fos.write(out);
fos.flush();
fos.close();
//METHOD 12
byte[] array=photo.getBytes();
FileOutputStream fos=new FileOutputStream("D:/Images/image6.jpg");
fos.write(array);
fos.flush();
fos.close();
//METHOD 13
byte[] array=photo.getBytes();
byte[] bytes = Base64.decode(array);
FileOutputStream fos=new FileOutputStream("D:/Images/image6.jpg");
fos.write(bytes);
fos.flush();
fos.close();
//METHOD 14
byte[] array=photo.getBytes();
Charset csets = Charset.forName("UTF-8");
ByteBuffer bb=ByteBuffer.wrap(array);
csets.decode(bb);
bb.rewind();
byte[] array1=bb.array();
FileOutputStream fos=new FileOutputStream("D:/Images/image6.jpg");
fos.write(array1);
fos.flush();
fos.close();
The shortest way might be this.
String photo = "0000005000000050FF191818FF151715FF111413FF0E100FF2A2322FF292221";
// adds a dummy byte at the start to avoid truncation of leading zeros.
byte[] bytes = new BigInteger("10" + photo, 16).toByteArray();
System.out.println(Arrays.toString(bytes));
prints
[1, 0, 0, 0, 5, 0, 0, 0, 5, 15, -15, -111, -127, -113, -15, 81, 113, 95, -15, 17, 65, 63, -16, -31, 0, -1, 42, 35, 34, -1, 41, 34, 33]
public class test {
static String HEX_STRING = "0123456789ABCDEF";
public static byte[] convertHexadecimal2Binary(byte[] hex) {
int block = 0;
byte[] data = new byte[hex.length / 2];
int index = 0;
boolean next = false;
for (int i = 0; i < hex.length; i++) {
block <<= 4;
int pos = HEX_STRING.indexOf(Character.toUpperCase((char) hex[i]));
if (pos > -1) {
block += pos;
}
if (next) {
data[index] = (byte) (block & 0xff);
index++;
next = false;
} else {
next = true;
}
}
return data;
}
public static void main(String args[]) {
String line = "";
String line_final = "";
try {
String sCurrentLine;
BufferedReader br = new BufferedReader(new FileReader("D:\\test.txt"));//test.txt hex code string
DataOutputStream os = new DataOutputStream(new FileOutputStream("D:\\mohit.jpg"));
while ((sCurrentLine = br.readLine()) != null) {
line = StringUtils.deleteWhitespace(sCurrentLine);
byte[] temp = convertHexadecimal2Binary(line.getBytes());
os.write(temp);
}
os.close();
br.close();
} catch (Exception e) {
e.printStackTrace();
}
}
}
When you retrieve a file a space will be appended at the beginning of the hex string so remove the space and store it in another byte array and it works fine:
here is code for removing starting space
byte a3[] = new BigInteger(str, 16).toByteArray();
byte a[] = new byte[a3.length - 1];
for (int i = 1; i < a3.length; i++)
a[i - 1] = a3[i];
Here a3 contains retrieved byte data;
a1 contains actual byte stream
Method 2 looks correct (haven't checked all others) -- your problem is probably elsewhere. Are you sure the string extracted from the XML is complete? Which parser are you using? Perhaps it returns long strings in multiple parts (I think this might be the case for SAX parsers), and you are extracting only the first part?
Here is how I would implement the decoding part (avoiding unneeded extra allocations via substring, BigInteger, char[] etc...; for performance, you may want to use a BufferedOutputStream though):
String photo = "0000005000000050FF191818FF15";
FileOutputStream fos = new FileOutputStream("D:/Images/image6.jpg");
for (int i = 0; i < photo.length; i += 2) {
int byte = Character.digit(photo.charAt(i), 16) * 16 +
Character.digit(photo.charAt(i + 1), 16);
fos.write(byte);
}
fos.close();

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