I am working on part of a Java application that takes an image as a byte array, reads it into a java.awt.image.BufferedImage
instance and passes it to a third-p
You could write your own routine for comparison!
int width;
int height;
boolean imagesEqual = true;
if( image1.getWidth() == ( width = image2.getWidth() ) &&
image1.getHeight() == ( height = image2.getHeight() ) ){
for(int x = 0;imagesEqual == true && x < width; x++){
for(int y = 0;imagesEqual == true && y < height; y++){
if( image1.getRGB(x, y) != image2.getRGB(x, y) ){
imagesEqual = false;
}
}
}
}else{
imagesEqual = false;
}
This would be one way!!!
If you want to use Mockito, then you could write a Hamcrest Matcher
import org.mockito.ArgumentMatcher;
public class BufferedImageMatcher extends ArgumentMatcher<BufferedImage> {
private final BufferedImage expected;
public BufferedImageMatcher(BufferedImage expected) {
this.expected = expected;
}
@Override
public boolean matches(Object argument) {
BufferedImage actual = (BufferedImage) argument;
assertEquals(expected.getWidth(), actual.getWidth());
assertEquals(expected.getHeight(), actual.getHeight());
for (int x = 0; x < actual.getWidth(); x++) {
for (int y = 0; y < actual.getHeight(); y++) {
assertEquals(expected.getRGB(x, y), actual.getRGB(x, y));
}
}
return true;
}
}
and use it like this
assertThat(actual, new BufferedImageMatcher(expected));
working well but not efficient
public static boolean compareImage(File fileA, File fileB) {
try {
// take buffer data from botm image files //
BufferedImage biA = ImageIO.read(fileA);
DataBuffer dbA = biA.getData().getDataBuffer();
int sizeA = dbA.getSize();
BufferedImage biB = ImageIO.read(fileB);
DataBuffer dbB = biB.getData().getDataBuffer();
int sizeB = dbB.getSize();
// compare data-buffer objects //
if(sizeA == sizeB) {
for(int i=0; i<sizeA; i++) {
if(dbA.getElem(i) != dbB.getElem(i)) {
return false;
}
}
return true;
}
else {
return false;
}
}
catch (Exception e) {
e.printStackTrace();
return false;
}
}
If speed is an issue, and both BufferedImages
are of the same bit-depth, arrangement, etc. (which seems like it must be true here) you can do this:
DataBuffer dbActual = myBufferedImage.getRaster().getDataBuffer();
DataBuffer dbExpected = bufferImageReadFromAFile.getRaster().getDataBuffer();
figure out which type it is, e.g. a DataBufferInt
DataBufferInt actualDBAsDBInt = (DataBufferInt) dbActual ;
DataBufferInt expectedDBAsDBInt = (DataBufferInt) dbExpected ;
do a few "sanity checks" for equals on the sizes and banks of the DataBuffers, then loop
for (int bank = 0; bank < actualDBAsDBInt.getNumBanks(); bank++) {
int[] actual = actualDBAsDBInt.getData(bank);
int[] expected = expectedDBAsDBInt.getData(bank);
// this line may vary depending on your test framework
assertTrue(Arrays.equals(actual, expected));
}
This is close to as fast as you can get cause you are grabbing a chunk of the data at a time, not one at a time.
This is the best approach. No need to keep a variable to tell whether the image is still equal. Simply return false immediately when the condition if false. Short-circuit evaluation helps save time looping over pixels after the comparison fails as is the case in trumpetlick's answer.
/**
* Compares two images pixel by pixel.
*
* @param imgA the first image.
* @param imgB the second image.
* @return whether the images are both the same or not.
*/
public static boolean compareImages(BufferedImage imgA, BufferedImage imgB) {
// The images must be the same size.
if (imgA.getWidth() != imgB.getWidth() || imgA.getHeight() != imgB.getHeight()) {
return false;
}
int width = imgA.getWidth();
int height = imgA.getHeight();
// Loop over every pixel.
for (int y = 0; y < height; y++) {
for (int x = 0; x < width; x++) {
// Compare the pixels for equality.
if (imgA.getRGB(x, y) != imgB.getRGB(x, y)) {
return false;
}
}
}
return true;
}
You can write that image via imageio
through an OutputStream
to a byte[]
.
In my code, it looks more or less like this:
byte[] encodeJpegLossless(BufferedImage img){...using imageio...}
...
Assert.assertTrue(Arrays.equals(encodeJpegLossless(img1)
,encodeJpegLossless(img2)
)
);