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README
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imgscalr - Java Image-Scaling Library
Changelog
---------
4.2
* Added support for a new Method.ULTRA_QUALITY scaling method.
This new method uses 3.5x more incremental steps when scaling an image down
than the QUALITY method, providing a much more accurate result. This is
especially noticeable in thumbnails that have diagonal lines that get jagged
during down-sizing with QUALITY or lower methods.
The quality of the ULTRA_QUALITY scaling method is almost on par with the
image resize functionality built into Mac OS X; that is to say it is better
than GIMP's Lancsoz3 and Windows 7 built-in resize.
https://github.com/rkalla/imgscalr/issues/61
* Fixed subtle bug with incremental scaling and Mode.FIT_EXACT causing the
incremental scaling to stop too soon resulting in the wrong-sized result
image.
The stop-condition for incremental scaling assumed that in every case the
width AND height would be shrinking each iteration; when using
Mode.FIT_EXACT this is not necessarily true as one dimension may not change
at all or stop changing before another.
https://github.com/rkalla/imgscalr/issues/65
4.1
* Fixed NullPointerException that occurred when debugging was enabled
https://github.com/rkalla/imgscalr/issues/60
Required a patch-release due to the show-stopping nature of the bug.
4.0
* [BREAKING] Package has changed from com.thebuzzmedia.imgscalr to
org.imgscalr - I am sorry for the inconvenience of this, but this is
necessary. There will be a family of imgscalr-based Java utilities coming
out in the future (ExifTool is next) that will all be under this umbrella.
* [BREAKING] Java 6 is now required for using imgscalr.
The reason for this is because imgscalr includes specific types of
ResizeOp and ColorConvertOps that actually segfault the latest Java 5 VM
when applied, but run fine in Java 6 and 7.
imgscalr cannot knowingly ship VM-segfaulting code that could would
introduce a potentially devastating situation into client applications.
This decision was not made lightly, but with Java 5 end-of-lifed and Java 6
being out for 5 years, it seemed like a reasonable requirement.
* [BREAKING] Rotation enum was totally redefined. All rotations were
redefined in terms of 90,180,270 quadrant rotations as well as h/v FLIP.
* [BREAKING] All resize(...) methods that accepted Rotation enums are
removed. All graphic operations are now separate and discrete, but can be
easily combined when multiple effects are wanted.
* Added apply() support for applying an arbitrary list of BufferedImageOps
SAFELY and efficiently working around all the bugs in the JDK pertaining
to BufferedImageOps (also used internally when applying any optionally
specified ops).
* Added crop() support.
* Added pad() support.
* Added rotate() support.
* All graphic operations (even new ones) were modified to allow the
application of 1 or more BufferedImageOps to a final image result before
returning it for convenience.
* Support for all the new operations (apply, crop, pad, rotate) were all
added to AsyncScalr so these operations can all be asynchronously performed
as well.
* Added support for horizontal and vertical flipping of the image via the
Rotation enum and new rotate() method.
* Added pre-defined OP_DARKER and OP_BRIGHTER operations that can be applied
to any image to make them darker or brighter (respectively) by 10%.
* Added Mode.FIT_EXACT to support (for the first time) scaling images
forced into a specific given dimension instead of honoring the image's
orientation and proportions automatically.
* AsyncScalr's use of ExecutorService was rewritten; no more support for
passing in custom ExecutorService implementations or modifying existing ones
on the fly and having the class do something magic to them under the
covers (that was bad) -- just extend the class and specify your own logic.
* AsyncScalr can be easily customized now through a single method:
- createService()
OR
- createService(ThreadFactory)
* AsyncScalr provides two custom ThreadFactory implementations for subclasses
to use if they want to customize the types of Threads generated and used
internally for async scale operations.
- DefaultThreadFactory creates default threads with all default settings.
- ServerThreadFactory generates threads that are optimized to execute in
a server environment (daemon threads w/ LOW_PRIORITY).
* AsyncScalr.DEFAULT_THREAD_COUNT was removed and replaced with THREAD_COUNT
that can be customized and set via system properties.
* AsyncScalr.THREAD_COUNT's property name was separated into a String constant
to make it easier to work with.
* Simplified the resize() calls as a result of making all operations discrete;
8 duplicate methods accepting "rotation" arguments were removed.
* Optimized the application of BufferedImageOps.
* Fixed a bug in the application of BufferedImageOps which could have led
to an ImagingOpException bubbling up from native Java2D or a corrupt (black)
image for poorly supported image types.
* Memory optimized the application of 2 or more BufferedImageOps (interim
images are explicitly cleaned up just like in incremental scaling).
* Optimized log() implementation to avoid StringBuilder creation and string
concatenation. Should be significant run-time savings over time if you are
running in an environment with debugging turned on.
* Removed the identity-return functionality in each method to throw an
exception instead of silently returning "src" unchanged.
This was done intentionally to avoid users getting caught in the situation
where they have code that automatically calls flush() on "src" after an
imgscalr method has returned (assuming they NOW have a modified copy to work
with).
In the case of sending in invalid or null arguments, previously imgscalr
would return "src" unchanged, which means the caller would be calling
flush() on a perfectly good image they still needed and not a copy as was
assumed by using imgscalr (And there would be no way to tell if imgscalr had
created a copy or not without using an == check with EVERY returned image
result).
Instead, invalid or missing arguments passed to any imgscalr method are
now considered an exception so the caller knows IMMEDIATELY when something
is wrong and won't get magically different/unexpected behavior.
* Exposed the potential for every method to fire an ImagingOpException if
one of the BufferedImageOps fails to apply using the hardware-accelerated
underlying Java2D code path. These exceptions were previously hidden in the
guts of Java2D and could bubble up unexpectedly, now they are clearly defined
directly on the imgscalr API so they can be cause and handled IF the caller
wants or needs to do that when using custom BufferedImageOps.
* Detailed notations about performance optimizations the caller can make to
ensure their handling of images are as performant as possible were added to
all the methods as a convenience.
* Defined DEBUG system property name as a public constant that can be used
to help avoid misspellings when trying to set debugging on.
* Modified LOG_PREFIX so it can now be set via the "imgscalr.logPrefix"
system property value now.
* Rewrote imgscalr test suite to specifically test all discrete operations
and all variations of the operations as well.
* Added AllTests test suite so all tests can be easily run at one time to
verify the release.
* Rewrote Javadoc covering a lot of the return and exception conditions for
all the methods to more clearly communicate what is happening inside the
method and to the original images.
3.2
* Added support for asynchronous & rate-limited scaling operations via the
AsyncScalr class.
The AsyncScalr class wraps the parent Scalr class and submits scale jobs to
an internal ExecutorService. The executor service can be used to serialize
and queue up scaling operations to avoid blowing the heap and overloading the
underlying host on a busy, multi-user system (e.g. a web app running imgscalr).
AsyncScalr by default uses a fixed-size ThreadPoolExecutor that can be modified
at run time to any tuned level of threads the caller desires (default 2). The
default settings are intended to be safe/efficient to use out of the box on
most all systems.
Additionally, AsyncScalr can be configured to use *any* ExecutorService
implementation passed to it so callers have ultimate control over how the
AsyncScalr processes jobs if they need/want it.
Typically it is a good idea to roughly map # of Scaling Threads to the # of
Cores on the server, especially on a server with plenty of memory and a large
heap for the VM.
If you are running inside of a smaller VM heap or lower-memory server (regardless
of core count) you will want to limit the number of simultaneous scale operations
so as not to saturate the heap during scaling when the images are read into
internal BufferedImage instances in VM memory.
* Added support for Rotation to the library. You can now specify the following
rotations to be applied to your image:
Rotation.NONE - No rotation.
Rotation.CLOCKWISE - Clockwise (90 degrees to the right) rotation.
Rotation.COUNTER_CLOCKWISE - Counter-clockwise (90 degrees to the left) rotation.
Rotation.FLIP - Flip the image (180 degrees rotation).
The rotation is performed as tightly and efficiently as possible, explicitly
cleaning up temporary resources created during the operation.
* API was simplified as duplicate methods without the vararg parameter were
removed (these were effectively duplicates of the vararg methods make the
API longer than it needed to be).
* Corrected a multitude of incorrect Javadoc comments pertaining to @throws
conditions.
* Rewrote the method Javadoc. Manually reviewing uncovered too many copy-paste
discrepancies that left out important information that would be helpful in
a Javadoc popup in an IDE while using imgscalr.
* All new code heavily commented.
3.1
* You can now specify Mode.FIT_TO_WIDTH or Mode.FIT_TO_HEIGHT behaviors
when resizing an image to get imgscalr to treat one dimension as the primary
and recalculate the other dimension to best fit it, regardless of the image's
orientation. Previously this was decided automatically for you by the
orientation of the image.
* resize methods now accept 0 or more BufferedImageOps as var-arg arguments.
* Workaround for a 10-year-old JDK bug that causes RasterExceptions to get
thrown from inside of Java2D when using BufferedImageOps was built directly
into imgscalr so you don't have to worry about RasterExceptions. More
info here: https://github.com/rkalla/imgscalr/issues/closed#issue/23
* API was made more strict and an IAE is thrown if 'src' is null to any of
the resize operations; a user reported that he spent a while debugging why
"imgscalr wasn't working" only to find out it was silently returning due to
a null source image. Would have been helpful if imgscalr had notified him of
the issue immediately.
3.0
* Big thanks to Magnus Kvalheim from http://www.movellas.com/ for help with
this release!
* Support for hardware-accelerated BufferedImageOp's was added to the library.
You can now provide an optional BufferedImageOp to many of the methods in the
imgscalr library and it will be applied to the resultant image before returning
it.
* Most common request was for imgscalr to apply an "anti-aliasing" filter to
results before returning them; this was achieved by adding support for
BufferedImageOps and providing a hand-tuned ConvolveOp to provide a good
default that can be applied easily by folks that want the effect but don't
want to learn all about BufferedImageOps and what "convolve" even means.
* Speed/Balance/Quality THRESHOLD values were adjusted for more optimal results
when relying on Method.AUTOMATIC to give good-looking results.
* Javadoc was updated to clarify hardware acceleration behaviors.
2.1
* Scaling of certain image types (and byte layouts) could result in very poor
looking scaled images ("pixelated" look, discolored dithering, etc.). This was
corrected by imgscalr forcibly scaling all source images into the most well-supported
image types by Java2D, resulting in excellent scale result quality regardless
of the Method specified.
* The issue of scaling of poorly supported (by Java2D) image-types can lead
to unexpectedly poor performance was also corrected as a side-effect of this
because all source images are converted to the most commonly supported image
type for Java2D.
2.0
* API-break: resize(BufferedImage, Method, int, int, boolean, boolean) was removed and
replaced by resize(BufferedImage, Method, int, int).
* DEBUG system variable added; set 'imgscalr.debug' to true to trigger debugging output
in the console. The boolean debug and elapsedTime arguments to the resize method
have been removed.
* New BALANCED method added. Provides a better result than SPEED faster than QUALITY.
* Added 2 optimized thresholds (in pixels) that the API uses to select the best Method
for scaling when the user specifies AUTOMATIC (or doesn't specify a method). This helps
provide much better results out of the box by default and tightens up the performance of the
API a bit more.
* Image comparison generator utility (ComparisonGenerator test class) added.
* Functional portions of API broken into static protected methods that can be
easily overridden by implementors to customize the API without needing to rewrite
the resize methods.
* Consolidated 5 locations of duplicated rendering code into a single method (scaleImage).
* Tightened up image scaling operation to do everything possible to avoid memory leaks (every native
resource is disposed or released explicitly)
* Detailed logging information integrated. If the 'imgscalr.debug' system property is
true, the API outputs exactly what it's doing, what argument values it is processing and
how long it is taking to do each scale operation.
* When AUTOMATIC method is specified, the API is more intelligent about selecting
SPEED, BALANCED or QUALITY based on the images primary dimension only (more accurate).
* Copious amounts of Javadoc added to new methods, new code and existing code.
Issues Resolved in 2.0:
https://github.com/rkalla/imgscalr/issues/closed
1.2
* Default proportional-scaling logic is more straight forward. If an image is
landscape then width is the preferred dimension and the given height is ignored
(and recalculated) and visa-versa if the image is portrait oriented. This gives
much better "default behavior" results.
* Added new convenience method resize(BufferedImage,int,int)
* Modified build.xml to output Maven-friendly artifact names.
Issues Resolved in 1.2:
https://github.com/rkalla/imgscalr/issues/closed
1.1
* Initial public release.
License
-------
This library is released under the Apache 2 License. See LICENSE.
Description
-----------
A class implementing performant (hardware accelerated), good-looking and
intelligent image-scaling algorithms in pure Java 2D. This class implements the
Java2D "best practices" when it comes to scaling images as well as Chris
Campbell's incremental scaling algorithm proposed as the best method for
down-sizes images for use as thumbnails (along with some additional minor
optimizations).
imgscalr also provides support for applying arbitrary BufferedImageOps against
resultant images directly in the library.
TIP: imgscalr provides a default "anti-aliasing" Op that will very lightly soften
an image; this was a common request. Check Scalr.OP_ANTIALIAS
TIP: All resizing operations maintain the original images proportions.
TIP: You can ask imgscalr to fit an image to a specific width or height regardless
of its orientation using a Mode argument.
This class attempts to make scaling images in Java as simple as possible by providing
a handful of approaches tuned for scaling as fast as possible or as best-looking
as possible and the ability to let the algorithm choose for you to optionally create
the best-looking scaled image as fast as possible without boring you with the details
if you don't want them.
Example
-------
In the simplest use-case where an image needs to be scaled to proportionally fit
a specific width (say 150px for a thumbnail) and the class is left to decide which
method will look the best, the code would look like this:
BufferedImage srcImage = ImageIO.read(...); // Load image
BufferedImage scaledImage = Scalr.resize(srcImage, 150); // Scale image
You could even flatten that out further if you simply wanted to scale the image
and write out the scaled result immediately to a single line:
ImageIO.write(Scalr.resize(ImageIO.read(...), 150));
Working with GIFs
-----------------
Java's support for writing GIF is... terrible. In Java 5 is was patent-encumbered
which made it mostly totally broken. In Java 6 the quantizer used to downsample
colors to the most accurate 256 colors was fast but inaccurate, yielding
poor-looking results. The handling of an alpha channel (transparency) while writing
out GIF files (e.g. ImageIO.write(...)) was non-existent in Java 5 and in Java 6
would remove the alpha channel completely and replace it with solid BLACK.
In Java 7, support for writing out the alpha channel was added but unfortunately
many of the remaining image operations (like ConvoleOp) still corrupt the
resulting image when written out as a GIF.
NOTE: Support for scaling animated GIFs don't work at all in any version.
My recommendation for working with GIFs is as follows in order of preference:
1. Save the resulting BufferedImage from imgscalr as a PNG; it looks
better as no quantizer needs to be used to cull down the color space and
transparency is maintained.
2. If you mostly need GIF, check the resulting BufferedImage.getType() to see
if it is TYPE_INT_RGB (no transparency) or TYPE_INT_ARGB (transparency); if the
type is ARGB, then save the image as a PNG to maintain the alpha channel, if not,
you can safely save it as a GIF.
3. If you MUST have GIF, upgrade your runtime to Java 7 and save your images as
GIF. If you run Java 6, any GIF using transparency will have the transparent
channel replaced with BLACK and in Java 5 I think the images will most all be
corrupt/invalid.
REMINDER: Even in Java 7, applying some BufferedImageOps (like ConvolveOp) to
the scaled GIF before saving it totally corrupts it; so you would need to avoid
that if you didn't want to save it as a PNG. If you decide to save as a PNG, you
can apply any Ops you want.
Troubleshooting
---------------
Image-manipulation in Java can take more memory than the size of the source image
because the image has to be "decoded" into raw ARGB bytes when loaded into the
BufferedImage instance; fortunately on most platforms this is a hardware-accelerated
operation by the video card.
If you are running into OutOfMemoryExceptions when using this library (e.g. if you
dealing with 10+ MB source images from an ultra-high-MP DSLR) try and up the
heap size using the "-Xmx" command line argument to your Java process.
An example of how to do this looks like:
java -Xmx128m com.site.MyApp
Reference
---------
Chris Campbell Incremental Scaling - http://today.java.net/pub/a/today/2007/04/03/perils-of-image-getscaledinstance.html
Related Projects
----------------
ExifTool for Java - https://github.com/rkalla/exiftool