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In Java converting an image to sRGB makes the image too bright

I have multiple images with a custom profile embedded in them and want to convert the image to sRGB in order to serve it up to a browser. I have seen code like the following:
BufferedImage image = ImageIO.read(fileIn);
ColorSpace ics = ColorSpace.getInstance(ColorSpace.CS_sRGB);
ColorConvertOp cco = new ColorConvertOp(ics, null);
BufferedImage result = cco.filter(image, null);
ImageIO.write(result, "PNG", fileOut);
where fileIn and fileOut are File objects representing the input file and output file respectively. This works to an extent. The problem is that the resulting image is lighter than the original. If I was to convert the color space in photoshop the colors would appear the same. In fact if I pull up both images with photoshop and take a screen shot and sample the colors, they are the same. What is photoshop doing that the code above isn't and what can I do to correct the problem?
There are various types of images being converted, including JPEG, PNG, and TIFF. I have tried using TwelveMonkeys to read in JPEG and TIFF images and I still get the same effect, where the image is too light. The conversion process seems worst when applied to an image that didn't have an embedded profile in the first place.
Edit:
I've added some sample images to help explain the problem.
This image is the one with the color profile embedded in it. Viewed on some browsers there won't be a noticeable difference between this one and the next but viewed in Chrome on Mac OSX and Windows it currently appears darker than it should. This is where my problem originates in the first place. I need to convert the image to something that will show up correctly in Chrome.
This is an image converted with ImageMagick to the Adobe RGB 1998 color profile, which Chrome appears to be able to display correctly.
This is the image that I converted using the code above and it appears lighter than it should.
(Note that the images above are on imgur so to make them larger, simply remove the "t" from the end of the filename, before the file extension.)

This was my initial solution which worked but I didn't like having to use ImageMagick. I have created another answer based off of the solution I ended up sticking with.
I gave in and ended up using im4java, which is a wrapper around the command line tool of image magick. When I use the following code to get a BufferedImage, it works really well.
IMOperation op = new IMOperation();
op.addImage(fileIn.getAbsolutePath());
op.profile(colorFileIn.getAbsolutePath());
op.addImage("png:-");
ConvertCmd cmd = new ConvertCmd();
Stream2BufferedImage s2b = new Stream2BufferedImage();
cmd.setOutputConsumer(s2b);
cmd.run(op);
BufferedImage image = s2b.getImage();
I can also use the library to apply a CMYK profile for print when needed. It would be nice if ColorConvertOp did the conversion correctly but for now, at least, this is my solution. In order to reach parity with my question the im4java code to achieve the same effect in the question is:
ConvertCmd cmd = new ConvertCmd();
IMOperation op = new IMOperation();
op.addImage(fileIn.getAbsolutePath());
op.profile(colorFileIn.getAbsolutePath());
op.addImage(fileOut.getAbsolutePath());
cmd.run(op);
where colorFileIn.getAboslutePath() is the location of the sRGB color profile on the machine. Since im4java is using the command line it's not as straight forward how to perform operations but the library is explained in detail here. I originally had issues with image magick not working on my Mac as explained in the question. I installed it using brew but it turns out on a Mac you have to install it like brew install imagemagick --with-little-cms. After that image magick worked fine for me.

I found a solution that doesn't require ImageMagick. Basically Java doesn't respect the profile when loading the image so if there is one it needs to get loaded. Here is a code snippet of what I did to accomplish this:
private BufferedImage loadBufferedImage(InputStream inputStream) throws IOException, BadElementException {
byte[] imageBytes = IOUtils.toByteArray(inputStream);
BufferedImage incorrectImage = ImageIO.read(new ByteArrayInputStream(imageBytes));
if (incorrectImage.getColorModel() instanceof ComponentColorModel) {
// Java does not respect the color profile embedded in a component based image, so if there is a color
// profile, detected using iText, then create a buffered image with the correct profile.
Image iTextImage = Image.getInstance(imageBytes);
com.itextpdf.text.pdf.ICC_Profile iTextProfile = iTextImage.getICCProfile();
if (iTextProfile == null) {
// If no profile is present than the image should be processed as is.
return incorrectImage;
} else {
// If there is a profile present then create a buffered image with the profile embedded.
byte[] profileData = iTextProfile.getData();
ICC_Profile profile = ICC_Profile.getInstance(profileData);
ICC_ColorSpace ics = new ICC_ColorSpace(profile);
boolean hasAlpha = incorrectImage.getColorModel().hasAlpha();
boolean isAlphaPremultiplied = incorrectImage.isAlphaPremultiplied();
int transparency = incorrectImage.getTransparency();
int transferType = DataBuffer.TYPE_BYTE;
ComponentColorModel ccm = new ComponentColorModel(ics, hasAlpha, isAlphaPremultiplied, transparency, transferType);
return new BufferedImage(ccm, incorrectImage.copyData(null), isAlphaPremultiplied, null);
}
}
else if (incorrectImage.getColorModel() instanceof IndexColorModel) {
return incorrectImage;
}
else {
throw new UnsupportedEncodingException("Unsupported color model type.");
}
}
This answer does use iText, which is generally used for PDF creation and manipulation, but it happens to process the ICC profiles correctly and I'm already depending on it for my project so it happens to be a much better choice than ImageMagick.
The code in the question then ends up as follows:
BufferedImage image = loadBufferedImage(new FileInputStream(fileIn));
ColorSpace ics = ColorSpace.getInstance(ColorSpace.CS_sRGB);
ColorConvertOp cco = new ColorConvertOp(ics, null);
BufferedImage result = cco.filter(image, null);
ImageIO.write(result, "PNG", fileOut);
which works great.

How to set DPI information in a grayscale image?

First of all, hello and thanks for the opportunity.
I have a solution that scans (via native twain source) an image (or many images) and saves them into a folder in the file system.
My question is: I made some tests, and I always got an 96 image DPI (I was using ImageIO.write to save the images that came from the twain API in a BufferedImage object).
Than, I saw the answer of Peter Kofler in stackoverflow at this link (How to set DPI information in an image?) and it works in Colored and Black & White situations (set up from TwainCapability object).
But, for my scanned grayscale images, the DPI doesn't change anyway !!!
I'm verifying it using MS Paint -> Properties. It's always 96 DPI when I scan a grayscale image.
Any idea how I can set the DPI in this case??
I'm setting the DPI, like the Peter Kofler example as this:
resolutionState = 100;
//or resolutionState = 200;
//or resolutionState = 300;
double dotsPerMilli = resolutionState / 10 / 2.54;

thanks one more time in advance.
I found an answer and one way to do this !!!
In the following link: How to change the DPI from 96 to 300 of an image in java after resizing? the "user3603284"posted an solution that helped me doing this.
I changed from png to jpeg (it does not matter for the project specifications) and then, worked like a charm !!!
The code:
File imageFile = new File("C:/ScannerOutput/scannerImage" + System.currentTimeMillis() +".jpeg");
FileOutputStream fos = new FileOutputStream(imageFile);
JPEGImageEncoder jpegEncoder = JPEGCodec.createJPEGEncoder(fos);
JPEGEncodeParam jpegEncodeParam = jpegEncoder.getDefaultJPEGEncodeParam(image);
jpegEncodeParam.setDensityUnit(JPEGEncodeParam.DENSITY_UNIT_DOTS_INCH);
jpegEncoder.setJPEGEncodeParam(jpegEncodeParam);
jpegEncodeParam.setQuality(0.75f, false);
jpegEncodeParam.setXDensity(resolutionState); //DPI rate 100, 200 or 300
jpegEncodeParam.setYDensity(resolutionState); //DPI rate 100, 200 or 300
jpegEncoder.encode(image, jpegEncodeParam);
image.flush();
fos.close();
Thanks very much SO, always helping me =)

Java: Slow image scale

Im using this code in java:
Image img = ImageIO.read(new File("imagepath/file.png").getScaledInstance(300, 300, BufferedImage.SCALE_SMOOTH);
BufferedImage buffered = new BufferedImage(300, 300, BufferedImage.SCALE_FAST);
buffered.getGraphics().drawImage(img, 0, 0 , null);
ByteArrayOutputStream os = new ByteArrayOutputStream();
ImageIO.write(buffered, "png", os);
InputStream in = new ByteArrayInputStream(os.toByteArray());
return in;
This successfully scales down and shows a thumbnail in the browser using my laptop. However when I'm launch it on my mini server (Raspberry Pi) it is horrible slow. More accurate is about 4 times longer than loading the actual full-res image.
Can anybody tell me how this is even possible? 300x300 < 1280x720! Should be less work and less bandwidth!
Cheers!

getScaledInstance is known to be slow, see for example this article for a detailed explanation.
Note that your
BufferedImage buffered = new BufferedImage(300, 300, BufferedImage.SCALE_FAST);
line is wrong, here for the third argument you should specify the image type ( TYPE_INT_RGB, TYPE_INT_ARGB, TYPE_INT_ARGB_PRE etc) and not SCALE_FAST (which is not even a field in BufferedImage)
Also see this: How to scale a BufferedImage
For quality downscaling see this: Quality of Image after resize very low -- Java

Image Resolution Changing but I am only trying to rotate the image

Any reason this code would changing the resolution of the original JPEG? I can understand if the file size were different because the JPEG quality settings are probably different but I don't understand why this would be resizing an image.
File newfile=new File(mydestinationfolder.concat(imagename));
Files.move(file.toPath(),newfile.toPath(), REPLACE_EXISTING);
Rotation Orientation;
if ((Orientation=Exif_data.get_Exif_Orientation(newfile)) != null) {
System.out.println(Orientation.toString());
BufferedImage oldimage = ImageIO.read(newfile);
BufferedImage tmp = Scalr.rotate(oldimage, Orientation);
oldimage.flush();
oldimage=tmp;
ImageIO.write(oldimage, "JPEG", newfile);
}

Well I am not sure why but the default settings for ImageIO.write() are changing the resolution. If I define a custom writer with JPEG quality set to 100%, the image resolution stays the same.
NOTE: output.close() at the end is important because as long as the stream is open the file is locked.
BufferedImage oldimage = ImageIO.read(newfile);
BufferedImage tmp = Scalr.rotate(oldimage, Orientation);
oldimage.flush();
oldimage=tmp;
Iterator iter = ImageIO.getImageWritersByFormatName("jpeg");
ImageWriter writer = (ImageWriter)iter.next();
ImageWriteParam iwp = writer.getDefaultWriteParam();
iwp.setCompressionMode(ImageWriteParam.MODE_EXPLICIT);
float quality=1.0f;
iwp.setCompressionQuality(quality);
FileImageOutputStream output = new FileImageOutputStream(newfile);
writer.setOutput(output);
IIOImage image = new IIOImage(oldimage, null, null);
writer.write(null, image, iwp);
writer.dispose();
output.close();

Late answer, but anyway..
As a JPEG read/manipulate/write cycle using ImageIO is always going to be lossy, and all you are doing is rotating, you should have a look at LLJTran from mediautil, as mentioned in this thread.
With that package, you should be able to benefit from a special feature of JPEG block compression to do a lossless JPEG transformation.
Still don't understand why your original code would change the image resolution, nor why your proposed solution would fix it though... Sounds like a bug to me, and should be reported to Oracle. What I do know though, is that setting the JPEG quality to 1.0 (100%) isn't what JPEG was meant for, and is going to cause huge files with no gain in quality (it may possibly be worse than storing at the quality of the original) given the input is already a compressed JPEG .

Uncompress a TIFF file without going through BufferedImage

I am receiving large size CCITT Group 4 compressed TIFF files that need to be written elsewhere as uncompressed TIFF files. I am using the jai_imageio TIFF reader and writer to do that and it works well as long as the product _width * height_ of the image fits in an integer.
Here is the code I am using:
TIFFImageReaderSpi readerSpi= new TIFFImageReaderSpi();
ImageReader imageReader = readerSpi.createReaderInstance();
byte[] data = blobManager.getObjectForIdAndVersion(id, version);
ImageInputStream imageInputStream = ImageIO.createImageInputStream(data);
imageReader.setInput(imageInputStream);
TIFFImageWriterSpi writerSpi = new TIFFImageWriterSpi();
ImageWriter imageWriter = writerSpi.createWriterInstance();
ImageWriteParam imageWriteParam = imageWriter.getDefaultWriteParam();
imageWriteParam.setCompressionMode(ImageWriteParam.MODE_DISABLED);
//bufferFile is created in the constructor
ImageOutputStream imageOutputStream = ImageIO.createImageOutputStream(bufferFile);
imageWriter.setOutput(imageOutputStream);
//Now read the bitmap
BufferedImage bufferedImage = imageReader.read(0);
IIOImage iIOImage = new IIOImage(bufferedImage, null, null);
//and write it
imageWriter.write(null, iIOImage, imageWriteParam);
Unfortunately, the files that I receive are often very large and the BufferedImage cannot be created.
I have been trying to find a way to stream from the ImageReader directly to the ImageWriter but I cannot find out how to do that.
Anybody with a suggestion?

I've had the some issues, and the end result might surprise you :
I ended up calling IrfanView with some command-line options using the Runtime.exec() method. That way, I am not worried about compression or size, it just works and outputs the correct files in the correct folder for me.
If you are on Linux, you can use ImageMagik or something similar.

You can use TIFF tiles to segment a TIFF into smaller portions ("tiles"). If you control the code creating the big images, JAI allows you to retrieve image content tile-by-tile.
Here is an example on how to create tiled image with JAI:
ColorModel cm = source.createColorModel();
// SampleModel with the tilesize
SampleModel sm = cm.createCompatibleSampleModel(tileWidth, tileHeight);
TiledImage image = new TiledImage(0, 0, imageWidth, imageHeight, 0, 0, sm, cm);
TIFFEncodeParam tep = new TIFFEncodeParam();
tep.setTileSize(tileWidth, tileHeight); // Set tile size to avoid OOM
tep.setWriteTiled(true);
JAI.create("filestore", image, filepath, "TIFF", tep);
If you can't control the TIFF production, my knowledge of JAI is too limited to be of much help.

Give your Java VM more memory.
If that doesn't work, look at the source code of the TIFF plugin in the JAI source code. You might be able to write your own processor which just decompresses the data structures using a streaming approach (so you'll never have to keep the whole image in memory at any time).
If that also doesn't work, look at JNA which allows you to call code from a DLL from Java (no C code required; everything is done from pure Java, unlike with Sun's JNI API).