public GhostReport ghostCalculation(int maxImageSmallDimension, int numThreads)
throws IOException {
File ghostOutputfile;
byte[] imageInByte;
String ghostBase64; // convert to base64 the image file
GhostReport ghostReport = new GhostReport();
GhostExtractor ghostExtractor;
ghostExtractor = new GhostExtractor(sourceFile, maxImageSmallDimension, numThreads);
BufferedImage ghostMap;
for (int ghostMapInd = 0; ghostMapInd < ghostExtractor.ghostMaps.size(); ghostMapInd++) {
ghostOutputfile =
new File(baseFolder, "GhostOutput" + String.format("%02d", ghostMapInd) + ".png");
ghostMap = ghostExtractor.ghostMaps.get(ghostMapInd);
ImageIO.write(ghostMap, "png", ghostOutputfile);
ByteArrayOutputStream ghostbytes = new ByteArrayOutputStream();
ImageIO.write(ghostMap, "png", ghostbytes);
imageInByte = ghostbytes.toByteArray();
ghostReport.maps.add(ghostOutputfile.getCanonicalPath());
ghostReport.differences = ghostExtractor.allDifferences;
ghostReport.minQuality = ghostExtractor.qualityMin;
ghostReport.maxQuality = ghostExtractor.qualityMax;
ghostReport.qualities = ghostExtractor.ghostQualities;
ghostReport.minValues = ghostExtractor.ghostMin;
ghostReport.maxValues = ghostExtractor.ghostMax;
}
ghostReport.completed = true;
return ghostReport;
}
public GridsBothReport gridsCalculation() throws IOException {
GridsBothReport gridsBothReport = new GridsBothReport();
GridsExtractor gridsExtractor;
gridsExtractor = new GridsExtractor(sourceFile);
ImageIO.write(gridsExtractor.displaySurfaceG, "png", outputFileG);
ByteArrayOutputStream gridsbytes = new ByteArrayOutputStream();
ImageIO.write(gridsExtractor.displaySurfaceG, "png", gridsbytes);
ImageIO.write(gridsExtractor.displaySurfaceGI, "png", outputFileGI);
ByteArrayOutputStream gridsInvbytes = new ByteArrayOutputStream();
ImageIO.write(gridsExtractor.displaySurfaceGI, "png", gridsInvbytes);
gridsBothReport.mapG = outputFileG.getCanonicalPath();
gridsBothReport.mapGI = outputFileGI.getCanonicalPath();
gridsBothReport.maxValueG = gridsExtractor.gridsmaxG;
gridsBothReport.minValueG = gridsExtractor.gridsminG;
gridsBothReport.maxValueG = gridsExtractor.gridsmaxGI;
gridsBothReport.minValueG = gridsExtractor.gridsminGI;
gridsBothReport.completed = true;
gridsBothReport.gridsNormalReport.map = outputFileG.getCanonicalPath();
gridsBothReport.gridsNormalReport.maxValue = gridsExtractor.gridsmaxG;
gridsBothReport.gridsNormalReport.minValue = gridsExtractor.gridsminG;
gridsBothReport.gridsNormalReport.completed = true;
gridsBothReport.gridsInversedReport.map = outputFileGI.getCanonicalPath();
gridsBothReport.gridsInversedReport.maxValue = gridsExtractor.gridsmaxGI;
gridsBothReport.gridsInversedReport.minValue = gridsExtractor.gridsminGI;
gridsBothReport.gridsInversedReport.completed = true;
return gridsBothReport;
}
public MedianNoiseReport medianNoiseCalculation() throws IOException {
MedianNoiseReport medianNoiseReport = new MedianNoiseReport();
MedianNoiseExtractor medianNoiseExtractor;
medianNoiseExtractor = new MedianNoiseExtractor(sourceFile);
ImageIO.write(medianNoiseExtractor.displaySurface, "png", outputFile);
ByteArrayOutputStream medianNoisebytes = new ByteArrayOutputStream();
ImageIO.write(medianNoiseExtractor.displaySurface, "png", medianNoisebytes);
medianNoiseReport.map = outputFile.getCanonicalPath();
medianNoiseReport.completed = true;
return medianNoiseReport;
}
public dqReport dqCalculation() throws IOException {
dqReport dqReport = new dqReport();
DQExtractor dqDetector;
dqDetector = new DQExtractor(sourceFile);
ImageIO.write(dqDetector.displaySurface, "png", outputFile);
ByteArrayOutputStream dqbytes = new ByteArrayOutputStream();
ImageIO.write(dqDetector.displaySurface, "png", dqbytes);
dqReport.map = outputFile.getCanonicalPath();
dqReport.maxValue = dqDetector.maxProbValue;
dqReport.minvalue = dqDetector.minProbValue;
dqReport.completed = true;
return dqReport;
}
public ELAReport elaCalculation() throws IOException {
ELAReport elaReport = new ELAReport();
ELAExtractor elaExtractor;
elaExtractor = new ELAExtractor(sourceFile);
ImageIO.write(elaExtractor.displaySurface, "png", outputFile);
ByteArrayOutputStream elabytes = new ByteArrayOutputStream();
ImageIO.write(elaExtractor.displaySurface, "png", elabytes);
elaReport.map = outputFile.getCanonicalPath();
elaReport.maxValue = elaExtractor.elaMax;
elaReport.minvalue = elaExtractor.elaMin;
elaReport.completed = true;
return elaReport;
}
public DWNoiseReport noiseDWCalculation() throws IOException {
DWNoiseReport dwNoiseReport = new DWNoiseReport();
DWNoiseVarExtractor noiseExtractor;
noiseExtractor = new DWNoiseVarExtractor(sourceFile);
ImageIO.write(noiseExtractor.displaySurface, "png", outputFile);
ByteArrayOutputStream noisebytes = new ByteArrayOutputStream();
ImageIO.write(noiseExtractor.displaySurface, "png", noisebytes);
dwNoiseReport.map = outputFile.getCanonicalPath();
dwNoiseReport.maxvalue = noiseExtractor.maxNoiseValue;
dwNoiseReport.minValue = noiseExtractor.minNoiseValue;
dwNoiseReport.completed = true;
return dwNoiseReport;
}
public BlockingReport blkCalculation() throws IOException {
BlockingReport blockingReport = new BlockingReport();
BlockingExtractor blockingExtractor;
blockingExtractor = new BlockingExtractor(sourceFile);
ImageIO.write(blockingExtractor.displaySurface, "png", outputFile);
ByteArrayOutputStream blockbytes = new ByteArrayOutputStream();
ImageIO.write(blockingExtractor.displaySurface, "png", blockbytes);
blockingReport.map = outputFile.getCanonicalPath();
blockingReport.maxValue = blockingExtractor.blkmax;
blockingReport.minValue = blockingExtractor.blkmin;
blockingReport.completed = true;
return blockingReport;
}
public static String downloadURL(String urlIn, String folderOut, String mongoHostIP)
throws IOException {
System.out.println("downloadURL");
String imgHash = null;
byte[] data = null;
// connect to URL and get input stream
URL imageURL = new URL(urlIn);
File localDir = new File(folderOut);
localDir.mkdir();
InputStream inputStream = null;
URLConnection urlConnection = null;
int noOfBytes = 0;
byte[] byteChunk = new byte[4096];
ByteArrayOutputStream byteOutputStream = new ByteArrayOutputStream();
urlConnection = imageURL.openConnection();
urlConnection.addRequestProperty(
"User-Agent",
"Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10.4; en-US; rv:1.9.2.2) Gecko/20100316 Firefox/3.6.2");
urlConnection.connect();
inputStream = urlConnection.getInputStream();
while ((noOfBytes = inputStream.read(byteChunk)) > 0) {
byteOutputStream.write(byteChunk, 0, noOfBytes);
}
// hash creation from image file
try {
System.out.println("Start MD5 Digest");
data = byteOutputStream.toByteArray();
MessageDigest md = MessageDigest.getInstance("MD5");
md.update(data);
byte[] hash = md.digest();
imgHash = String.format("%032x", new java.math.BigInteger(1, hash));
System.out.println("Hash : " + imgHash);
} catch (NoSuchAlgorithmException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
MongoClient mongoclient = new MongoClient(mongoHostIP, 27017);
// System.out.println("mongoHostIP :: " + mongoHostIP);
Morphia morphia = new Morphia();
morphia.map(ForensicReport.class).map(dqReport.class);
Datastore ds = new Morphia().createDatastore(mongoclient, "ForensicDatabase");
ds.ensureCaps();
String baseFolder = folderOut + imgHash + "/";
ForensicReport report = ds.get(ForensicReport.class, imgHash);
// check if hash exist
if (report != null) {
System.out.println("Exists");
} else {
// if hash does not exist in database, then download the image
report = new ForensicReport();
report.id = imgHash;
try {
File writeFolder = new File(baseFolder);
if (!writeFolder.exists()) writeFolder.mkdirs();
File imageFile = new File(baseFolder, "Raw");
OutputStream outputStream = new FileOutputStream(imageFile);
byteOutputStream.writeTo(outputStream);
outputStream.close();
BufferedImage downloadedImage = ImageIO.read(imageFile);
ImageIO.write(downloadedImage, "JPEG", new File(baseFolder, "Display.jpg"));
// store in database image information
report.sourceImage = baseFolder + "Raw";
report.displayImage = baseFolder + "Display.jpg";
report.sourceURL = urlIn;
report.status = "Downloaded";
ds.save(report);
} catch (Exception e) {
e.printStackTrace();
mongoclient.close();
return "URL_ERROR";
}
}
mongoclient.close();
System.out.println("Downloaded.");
return imgHash;
}
public static String reportCalculation(
String urlHash,
String mongoHostIP,
String folderOut,
int maxGhostImageSmallDimension,
int numGhostThreads,
int numberOfThreads,
long computationTimeoutLimit)
throws UnknownHostException {
String outMessage = "COMPLETEDSUCCESSFULLY";
ExecutorService threadpool = Executors.newFixedThreadPool(numberOfThreads);
MongoClient mongoclient = new MongoClient(mongoHostIP, 27017);
Morphia morphia = new Morphia();
morphia.map(ForensicReport.class).map(dqReport.class);
Datastore ds = new Morphia().createDatastore(mongoclient, "ForensicDatabase");
ds.ensureCaps();
String baseFolder = folderOut + urlHash + "/";
ForensicReport report = ds.get(ForensicReport.class, urlHash);
if (report == null) {
mongoclient.close();
return "HASHNOTFOUND";
}
if (report.status.equalsIgnoreCase("Processing")) {
mongoclient.close();
return "ALREADYPROCESSING";
}
if (report.status.equalsIgnoreCase("Done")) {
mongoclient.close();
return "PROCESSINGALREADYCOMPLETE";
}
System.out.println("start processing");
report.status = "Processing";
dqReport dqReport = new dqReport();
ELAReport elaReport = new ELAReport();
GhostReport ghostReport = new GhostReport();
DWNoiseReport dwNoiseReport = new DWNoiseReport();
BlockingReport blockingReport = new BlockingReport();
MedianNoiseReport medianNoiseReport = new MedianNoiseReport();
GPSReport gpsReport = new GPSReport();
GridsNormalReport gridsReport = new GridsNormalReport();
GridsInversedReport gridsInversedReport = new GridsInversedReport();
File dqOutputfile = new File(baseFolder, "DQOutput.png");
File dwNoiseOutputfile = new File(baseFolder, "DWNoiseOutput.png");
File ghostOutputfile;
File elaOutputfile = new File(baseFolder, "ELAOutput.png");
File blkOutputfile = new File(baseFolder, "BLKOutput.png");
File medianNoiseOutputFile = new File(baseFolder, "MedianNoiseOutput.png");
File gridsOutputFile = new File(baseFolder, "GridsOutput.png");
File gridsInversedOutputFile = new File(baseFolder, "GridsInversedOutput.png");
try {
if (ImageIO.read(new File(report.sourceImage)).getColorModel().hasAlpha()) {
System.out.println(
"If image has an alpha channel, then assume transparent PNG -No point in processing it");
// If image has an alpha channel, then assume transparent PNG -No point in processing it
BufferedImage transparentPNGNotAccepted = ArtificialImages.transparentPNGNotAccepted();
ImageIO.write(transparentPNGNotAccepted, "png", dqOutputfile);
System.out.println(
" dqOutputfile.getCanonicalPath() 1 :: " + dqOutputfile.getCanonicalPath());
dqReport.map = dqOutputfile.getCanonicalPath();
dqReport.completed = true;
report.dqReport = dqReport;
ImageIO.write(transparentPNGNotAccepted, "png", dwNoiseOutputfile);
System.out.println(
" dwNoiseOutputfile.getCanonicalPath() :: " + dwNoiseOutputfile.getCanonicalPath());
dwNoiseReport.map = dwNoiseOutputfile.getCanonicalPath();
dwNoiseReport.completed = true;
report.dwNoiseReport = dwNoiseReport;
ghostOutputfile = new File(baseFolder, "GhostOutput" + String.format("%02d", 0) + ".png");
ImageIO.write(transparentPNGNotAccepted, "png", ghostOutputfile);
ghostReport.maps.add(ghostOutputfile.getCanonicalPath());
System.out.println(
" ghostOutputfile.getCanonicalPath() :: " + ghostOutputfile.getCanonicalPath());
ghostReport.differences.add((float) 0.0);
ghostReport.qualities.add(0);
ghostReport.minValues.add((float) 0.0);
ghostReport.maxValues.add((float) 0.0);
ghostReport.completed = true;
report.ghostReport = ghostReport;
ImageIO.write(transparentPNGNotAccepted, "png", elaOutputfile);
System.out.println(
" elaOutputfile.getCanonicalPath() :: " + elaOutputfile.getCanonicalPath());
elaReport.map = elaOutputfile.getCanonicalPath();
elaReport.completed = true;
report.elaReport = elaReport;
ImageIO.write(transparentPNGNotAccepted, "png", blkOutputfile);
blockingReport.map = blkOutputfile.getCanonicalPath();
System.out.println(
" blkOutputfile.getCanonicalPath() :: " + blkOutputfile.getCanonicalPath());
blockingReport.completed = true;
report.blockingReport = blockingReport;
ImageIO.write(transparentPNGNotAccepted, "png", medianNoiseOutputFile);
medianNoiseReport.map = medianNoiseOutputFile.getCanonicalPath();
System.out.println(
" medianNoiseOutputFile.getCanonicalPath() :: "
+ medianNoiseOutputFile.getCanonicalPath());
medianNoiseReport.completed = true;
report.medianNoiseReport = medianNoiseReport;
ImageIO.write(transparentPNGNotAccepted, "png", gridsOutputFile);
gridsReport.map = gridsOutputFile.getCanonicalPath();
System.out.println(
" gridsOutputFile.getCanonicalPath() :: " + gridsOutputFile.getCanonicalPath());
ImageIO.write(transparentPNGNotAccepted, "png", gridsInversedOutputFile);
gridsInversedReport.map = gridsInversedOutputFile.getCanonicalPath();
System.out.println(
" gridsInversedOutputFile.getCanonicalPath() :: "
+ gridsInversedOutputFile.getCanonicalPath());
gridsReport.completed = true;
gridsInversedReport.completed = true;
report.gridsReport = gridsReport;
report.gridsInversedReport = gridsInversedReport;
ds.save(report);
} else {
Boolean dqSaved = false,
noiseDWSaved = false,
ghostSaved = false,
elaSaved = false,
blkSaved = false,
medianNoiseSaved = false,
gridsSaved = false;
DQThread dqThread = new DQThread(report.sourceImage, dqOutputfile);
Future dqFuture = threadpool.submit(dqThread);
noiseDWThread noiseDWThread = new noiseDWThread(report.sourceImage, dwNoiseOutputfile);
Future noiseDWFuture = threadpool.submit(noiseDWThread);
GhostThread ghostThread =
new GhostThread(
report.sourceImage, baseFolder, maxGhostImageSmallDimension, numGhostThreads);
Future ghostFuture = threadpool.submit(ghostThread);
ELAThread elaThread = new ELAThread(report.sourceImage, elaOutputfile);
Future elaFuture = threadpool.submit(elaThread);
BLKThread blkThread = new BLKThread(report.sourceImage, blkOutputfile);
Future blkFuture = threadpool.submit(blkThread);
MedianNoiseThread medianNoiseThread =
new MedianNoiseThread(report.sourceImage, medianNoiseOutputFile);
Future medianNoiseFuture = threadpool.submit(medianNoiseThread);
GridsThread gridsThread =
new GridsThread(report.sourceImage, gridsOutputFile, gridsInversedOutputFile);
Future gridsFuture = threadpool.submit(gridsThread);
// GridsInversedThread gridsInversedThread = new
// GridsInversedThread(report.sourceImage,gridsInversedOutputFile);
// Future gridsInversedFuture = threadpool.submit(gridsInversedThread);
Long startTime = System.currentTimeMillis();
MetadataExtractor metaExtractor;
metaExtractor = new MetadataExtractor(report.sourceImage);
JsonObject metadataReport = metaExtractor.metadataReport;
metadataReport.addProperty("completed", true);
report.metadataStringReport = metadataReport.toString();
ds.save(report);
GPSExtractor gpsExtractor = new GPSExtractor(metadataReport);
gpsReport.completed = true;
gpsReport.exists = gpsExtractor.exists;
gpsReport.latitude = gpsExtractor.latitude;
gpsReport.longitude = gpsExtractor.longitude;
report.gpsReport = gpsReport;
ds.save(report);
ThumbnailReport thumbnail = new ThumbnailReport();
ThumbnailExtractor thumbnailExtractor;
thumbnailExtractor = new ThumbnailExtractor(report.sourceImage);
thumbnail.numberOfThumbnails = thumbnailExtractor.numberOfThumbnails;
File thumbFile = null;
for (int thumbInd = 0; thumbInd < thumbnailExtractor.numberOfThumbnails; thumbInd++) {
thumbFile = new File(baseFolder, "Thumbnail" + String.valueOf(thumbInd) + ".png");
ImageIO.write(thumbnailExtractor.thumbnails.get(thumbInd), "png", thumbFile);
thumbnail.thumbnailList.add(thumbFile.getCanonicalPath());
}
report.thumbnailReport = thumbnail;
ds.save(report);
while (!dqFuture.isDone()
| !noiseDWFuture.isDone()
| !ghostFuture.isDone()
| !elaFuture.isDone()
| !blkFuture.isDone()
| !medianNoiseFuture.isDone()
| !gridsFuture.isDone()) {
Thread.sleep(100); // sleep for 1 millisecond before checking again
if (dqFuture.isDone() & !dqSaved) {
report.dqReport = (dqReport) dqFuture.get();
dqSaved = true;
ds.save(report);
System.out.println("dqReport Done");
}
if (noiseDWFuture.isDone() & !noiseDWSaved) {
report.dwNoiseReport = (DWNoiseReport) noiseDWFuture.get();
noiseDWSaved = true;
ds.save(report);
System.out.println("DWNoiseReport Done");
}
if (ghostFuture.isDone() & !ghostSaved) {
report.ghostReport = (GhostReport) ghostFuture.get();
ghostSaved = true;
ds.save(report);
System.out.println("Ghost Done");
}
if (elaFuture.isDone() & !elaSaved) {
report.elaReport = (ELAReport) elaFuture.get();
elaSaved = true;
ds.save(report);
System.out.println("elaReport Done");
}
if (blkFuture.isDone() & !blkSaved) {
report.blockingReport = (BlockingReport) blkFuture.get();
blkSaved = true;
ds.save(report);
System.out.println("blockingReport Done");
}
if (medianNoiseFuture.isDone() & !medianNoiseSaved) {
report.medianNoiseReport = (MedianNoiseReport) medianNoiseFuture.get();
medianNoiseSaved = true;
ds.save(report);
System.out.println("Median Noise Done");
}
if (gridsFuture.isDone() & !gridsSaved) {
GridsBothReport gridsBothReport = (GridsBothReport) gridsFuture.get();
report.gridsReport = gridsBothReport.gridsNormalReport;
report.gridsReport.completed = true;
report.gridsInversedReport = gridsBothReport.gridsInversedReport;
report.gridsInversedReport.completed = true;
gridsSaved = true;
ds.save(report);
System.out.println("GridsReport Done");
}
if ((System.currentTimeMillis() - startTime) > computationTimeoutLimit) {
System.out.println("Computation timed out");
outMessage = "TIMEDOUT";
// kill if timeout
dqFuture.cancel(true);
noiseDWFuture.cancel(true);
ghostFuture.cancel(true);
blkFuture.cancel(true);
medianNoiseFuture.cancel(true);
elaFuture.cancel(true);
gridsFuture.cancel(true);
break;
}
}
threadpool.shutdown();
}
} catch (Exception e) {
threadpool.shutdown();
e.printStackTrace();
}
report.status = "Done";
ds.save(report);
System.out.println("Will now close mongodb connection");
mongoclient.close();
return outMessage;
}