- Optimage is an advanced image-optimization tool to minimize images in a visually lossless way for websites, apps, storage, and sharing.It uses advanced metrics to automatically adjust image quality for up to 10x smaller image files that are visually perceived as originals.
- Optimage version history 3.3.1 – 03 January 2020. Fixed the issue causing a default app change for video files; Fixed failing PDF optimization when the document contains 16-bit images (for this to work, color conversion must be disabled).
Gesteld op 13-3-2019 om 12:55. Reageer op deze vraag Misbruik melden. Ik gebruik dit apparaat al enige tijd voor mijn gel accu's van mijn motorfiets en auto. In feite zijn de gel accu's niets meer dan veredelde lood/zuur accu's succes groet Michel Geantwoord op 13-3-2019 om 16:01. Waardeer dit antwoord Misbruik melden. Optimage 0.3.0 pip install optimage Copy PIP instructions. Keykey 2 7 – typing tutor test. Released: Mar 18, 2017 Optimage: Lossless Compressor for PNG and JPEG. Explore our social media channels to post any queries/concerns/doubts or to stay in touch with all the latest news, articles and tips related to Magento.
Benchmark
The following tools were used to automatically compress a set of images on default settings. The test images are PNG test corpus by Cédric Louvrier and Guetzli photo dataset (converted to JPEG at highest quality) by Jyrki Alakuijala. All images are publicly available for download.
The results were compared with the originals by using a flip test on the calibrated Macbook Pro Retina screen under normal viewing conditions. Tor browser bundle 8 5 3. If an image is visually indistinguishable from its original, it is scored 1 (one), otherwise 0 (zero). The final score is the average of the relative values for each format.
It is highly recommended to view the images full size at 100% zoom. Some images especially on mobile are scaled down by the browser, making it harder to spot the differences.
3.3 Naruto
Optimage | ImageOptim | Guetzli | JPEGmini | TinyPNG | Squash | Google Photos | |
---|---|---|---|---|---|---|---|
Lossless compression | |||||||
PNG | 274 KB | 296 KB | – | – | – | 304 KB | – |
JPEG | 16.9 MB | 16.9 MB | – | – | – | – | – |
Lossy compression | |||||||
PNG | 616 KB | 578 KB | – | – | 415 KB | – | – |
JPEG | 3.68 MB | 2.08 MB | 4.21 MB | 3.74 MB | 3.58 MB | 3.63 MB | 2.68 MB |
Human-rated score* | |||||||
PNG | 100% | 76% | – | – | 54% | – | – |
JPEG | 100% | 13% | 81% | 58% | 42% | 29% | 13% |
Total | 100% | 44% | 81% | 58% | 48% | 29% | 13% |
Butteraugli score** | |||||||
PNG | 1.2 ± 0.7 | 1.2 ± 1.9 | – | – | 1.6 ± 2.0 | – | – |
JPEG | 2.3 ± 0.8 | 3.7 ± 1.9 | 1.3 ± 0.0 | 2.5 ± 0.7 | 2.5 ± 1.4 | 2.7 ± 1.9 | 3.3 ± 1.3 |
*Score shows how many images are visually indistinguishable from originals under normal viewing conditions. Hover over results to see the actual number of images.
**Butteraugli score is in multiples of just noticeable difference (JND) with a confidence level of 95%.
**Butteraugli score is in multiples of just noticeable difference (JND) with a confidence level of 95%.
Optimage 3 3 14 Kjv
Notes
- The human-rated scores correlate with the scores estimated by Butteraugli, which is considered a state-of-the-art image quality metric.
- The Guetzli score matches the results of the official study, where 75% of human ratings are in favor of Guetzli, which also implies Guetzli performed worse than the baseline JPEG encoder in 25% of cases.
- Guetzli achieved best quality/size ratio in some cases but failed to provide consistent quality especially at lower quality settings.
- Due to global error averaging and forced 4:2:0 chroma subsampling, the local error is virtually unlimited in tools like ImageOptim and TinyPNG, regardless of quality setting.
- ImageOptim forces 4:2:0 chroma subsampling even at higher quality 92-95, which leads to noticeable image quality degradation at comparable file size.
- TinyPNG and similar tools use stock PNGQuant at more aggressive settings, which greatly increases the likehood of a high local error in images mixing flat colored and photographic content, e.g. screenshots.
- TinyPNG images could be losslessly compressed by 6.3% more using Optimage.
- Guetzli is extremely slow requiring approximately 1 minute of CPU and 100 megabytes (MB) of memory per 1 megapixel (MPix).
- JPEGmini adds a hidden metadata containing version information and image hash to all recompressed JPEG files.
- ImageOptim will not strip metadata if recompression is suboptimal and increases the file size.
Test samples
Additional tests
Latest versionOptimage: Lossless Compressor for PNG and JPEG
Project description
Optimage
. image:: https://badge.fury.io/py/optimage.svg
:target: http://badge.fury.io/py/optimage
. image:: https://travis-ci.org/sk-/optimage.svg?branch=master
:target: https://travis-ci.org/sk-/optimage
. image:: https://coveralls.io/repos/sk-/optimage/badge.svg?branch=master
:target: https://coveralls.io/r/sk-/optimage?branch=master
Optimage optimizes JPEGs and PNGs by losslessly recompressing them and removing
unnecessary metadata (EXIF, comments, etc), making the web faster and your repo
smaller.
Optimizers
----------
- JPEG
* `jpegtran <http://manpages.ubuntu.com/manpages/trusty/man1/jpegtran.1.html>`_
* `jpegoptim <http://manpages.ubuntu.com/manpages/trusty/man1/jpegoptim.1.html>`_
- PNG
* `pngcrush <http://manpages.ubuntu.com/manpages/trusty/man1/pngcrush.1.html>`_
* `optipng <http://manpages.ubuntu.com/manpages/trusty/man1/optipng.1.html>`_
Example usage
-------------
$ optimage test_data/valid1.png
File can be losslessly compressed to 67 bytes (savings: 52 bytes = 43.70%)
Replace it by running either:
optimage --replace test_data/valid1.png
optimage --output <FILENAME> test_data/valid1.png
$ optimage --replace test_data/valid1.png
File was losslessly compressed to 67 bytes (savings: 52 bytes = 43.70%)
$ optimage --output /tmp/valid1.png test_data/valid1.png
File was losslessly compressed to 67 bytes (savings: 52 bytes = 43.70%)
Installation
------------
You can install, upgrade or uninstall ``optimage`` with these commands::
$ pip install optimage
$ pip install --upgrade optimage
$ pip uninstall optimage
Python Versions
---------------
Python 2.7, 3.3, 3.4 and 3.5 are supported.
Development
-----------
Help for this project is more than welcomed, so feel free to create an issue or
to send a pull request via http://github.com/sk-/optimage.
Tests are run using pytest, either with::
$ python setup.py test
$ pytest
Changelog
v0.3.0 (2017-03-19)
----------
* Fixed #19: remove --lossy_8bit from zopflipng call
* Fixed #13: temporary files are removed after use
v0.2.0 (2016-02-08)
-------------------
* Added support for Python 2.7
* Added support for zopflipng
* Fixed #4: Images are now considered equal when alpha is 0 regardless of RGB.
* Fixed #6: Add --debug option to gather performance stats
v0.0.1 (2015-12-24)
-------------------
* Initial release with support for (jpegtran, jpegoptim, optipng, pngcrush)
. image:: https://badge.fury.io/py/optimage.svg
:target: http://badge.fury.io/py/optimage
. image:: https://travis-ci.org/sk-/optimage.svg?branch=master
:target: https://travis-ci.org/sk-/optimage
. image:: https://coveralls.io/repos/sk-/optimage/badge.svg?branch=master
:target: https://coveralls.io/r/sk-/optimage?branch=master
Optimage optimizes JPEGs and PNGs by losslessly recompressing them and removing
unnecessary metadata (EXIF, comments, etc), making the web faster and your repo
smaller.
Optimizers
----------
- JPEG
* `jpegtran <http://manpages.ubuntu.com/manpages/trusty/man1/jpegtran.1.html>`_
* `jpegoptim <http://manpages.ubuntu.com/manpages/trusty/man1/jpegoptim.1.html>`_
- PNG
* `pngcrush <http://manpages.ubuntu.com/manpages/trusty/man1/pngcrush.1.html>`_
* `optipng <http://manpages.ubuntu.com/manpages/trusty/man1/optipng.1.html>`_
Example usage
-------------
$ optimage test_data/valid1.png
File can be losslessly compressed to 67 bytes (savings: 52 bytes = 43.70%)
Replace it by running either:
optimage --replace test_data/valid1.png
optimage --output <FILENAME> test_data/valid1.png
$ optimage --replace test_data/valid1.png
File was losslessly compressed to 67 bytes (savings: 52 bytes = 43.70%)
$ optimage --output /tmp/valid1.png test_data/valid1.png
File was losslessly compressed to 67 bytes (savings: 52 bytes = 43.70%)
Installation
------------
You can install, upgrade or uninstall ``optimage`` with these commands::
$ pip install optimage
$ pip install --upgrade optimage
$ pip uninstall optimage
Python Versions
---------------
Python 2.7, 3.3, 3.4 and 3.5 are supported.
Development
-----------
Help for this project is more than welcomed, so feel free to create an issue or
to send a pull request via http://github.com/sk-/optimage.
Tests are run using pytest, either with::
$ python setup.py test
$ pytest
Changelog
v0.3.0 (2017-03-19)
----------
* Fixed #19: remove --lossy_8bit from zopflipng call
* Fixed #13: temporary files are removed after use
v0.2.0 (2016-02-08)
-------------------
* Added support for Python 2.7
* Added support for zopflipng
* Fixed #4: Images are now considered equal when alpha is 0 regardless of RGB.
* Fixed #6: Add --debug option to gather performance stats
v0.0.1 (2015-12-24)
-------------------
* Initial release with support for (jpegtran, jpegoptim, optipng, pngcrush)
Optimage 3 3 14 Inch
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