Tag Archives: raster

Boost.GIL IO and Toolbox extensions accepted into Boost

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I have just announced results of the formal review of IO and Toolbox extensions for Boost Generic Image Library (GIL). Shortly, formally, the review concluded with 1 NO and 7 YES votes what means both extensions have been accepted into Boost C++ Libraries.

The task has been finished, but the mission is still ongoing. Lubomir Bourdev (Adobe) – Boost.GIL lead developer summarised it quite well:

The problem with I/O is that you can never declare success.
All we can hope for is push the boundary as much as we can, and leave the rest for the next update.

Christian Henning has done great job developing the extensions and reviewers confirmed it. It was pleasure for me to manage the review process.

Formal Review of IO and Toolbox extensions to Boost.GIL starts TOMORROW

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I am honoured to act as a Boost Review Manager for the proposed Boost.GIL.IO and Boost.GIL.Toolbox extensions. Today, I announced the review starting tomorrow:

According to the Boost Formal Review Schedule, review of Christian Henning’s extensions to the Boost Generic Image Library (Boost.GIL), it is:

  • Boost.GIL.IO
  • Boost.GIL.Toolbox

starts on December 1st and lasts until December 10th, 2010.

What is it?

The Boost.GIL.IO extension provides an easy to use interface for reading and writing various image formats. It also includes a framework for adding new formats. The Boost.GIL.IO is indent to replace the current IO extension which is part of Boost for several years now.

  • A unified way to read and write image encoded in BMP, JPEG, PNG, PNM and TIFF formats. The capabilities to read and write in various formats have improved dramatically.
  • Image data can be provided via standard file or string streams.

    • The Boost.GIL.Toolbox provides new color spaces and other small code to ease programming with Boost.GIL.

  • Implementation of color spaces: Gray_Alpha, HSL, HSV, LAB, and XYZ.
  • Utilities to support dynamic image workflows and color conversions.
  • Collection of metafunctions to determine alignment, similarity and homogeneity at pixel level.

The Boost.GIL as well as the proposed extensions are provided in form of a headers-only library Although, some image formats come with their format dependency, it is corresponding third-party libraries:

Getting the library

The latest version of both extensions can be downloaded as boost_review.zip package or directly from the Subversion repository. The docs can built as usual with bjam and quickbook tools from within libs/gil/io_new/doc directory. The libs/gil/io_new/test/readme.txt provides a step by step guide to configuring, building and running the unit tests. (By the way, here are some more details on how we’ve managed to get the Boost.GIL tests building with Boost.Build and Boost.Build extensions

The boost_review.zip is about 20MB due to its extensive collection of test images. They are part of the test suite to make sure that different variations of each image format is read and written correctly. Please, be aware no guarantee can be given that all formats in their all variants are completely supported.

Writing a review

If you feel the new IO and Toolbox are interesting extensions to the Boost.GIL library, then please submit your review to the developer list (preferably), or to the review manager.

Here are some questions you might want to answer in your review:

  • What is your evaluation of the design?
  • What is your evaluation of the implementation?
  • What is your evaluation of the documentation?
  • What is your evaluation of the potential usefulness of the extensions?
  • Did you try to use the extensions? With what compiler? Did you have any problems?
  • How much effort did you put into your evaluation? A glance? A quick reading? In-depth study?
  • Are you knowledgeable about the problem domain?

    • And finally, every review should answer this question:

  • Do you think the extensions should be accepted as a part of Boost.GIL library?

    • Be sure to say this explicitly so that your other comments don’t obscure your overall opinion.

Updating Boost.Build extensions

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I’ve been continuing my Boost.Build adventures leading to preparation for review of the new Boost.GIL I/O framework. Here is a short patch with update I had to applie to Boost.Build extensions scripts for the libraries: jpeg-8a, libtiff 3.9.4 and zlib 1.2.4. It is boost-build_extensions-r66346-update.patch

This patch allowed me to successfully compile Boost.GIL tests. It’s been posted to the Boost mailing list, so perhaps it will be integrated with boost_extensions in the Boost Sandbox repository.

GDAL/OGR 1.7.0 Released

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GDAL logoFrank has just posted announcement about freshly released GDAL/OGR 1.7.0:

This is the first major new release since the 1.6.0 release approximately one year ago

This new version brings quite a nice collection of new drivers for raster and vector data formats:

  • New Raster Drivers: BAG, EPSILON, Northwood/VerticalMapper, R, Rasterlite, SAGA GIS Binary, SRP (USRP/ASRP), EarthWatch .TIL, WKT Raster
  • GDAL PCIDSK driver using the new PCIDSK SDK by default
  • New Vector drivers : DXF, GeoRSS, GTM, PCIDSK and VFK
  • New utilities: gdaldem, gdalbuildvrt now compiled by default
  • Add support for Python 3.X. Compatibility with Python 2.X preserved
  • Remove old-generation Python bindings
  • Significantly improved raster drivers: GeoRaster, GeoTIFF, HFA, JPEG2000 JasPer, JPEG2000 Kakadu, NITF
  • Significantly improved vector drivers: CSV, KML, SQLite/SpataiLite, VRT

libjpeg and libpng go C++

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I’ve just come across an interesting project(s). It is jpegxx and pngxx: two (or three if imagexx adaptors counted) thin libraries wrapping libjpeg and libpng with interface of C++ streams, iterators and ranges.

It slowly is getting crowded around raster libraries in C++. Another alternative is GIL developed by Adobe and included in Boost C++ Libraries with collection of IO and more extensions.

Just what tigers like best. Isn’t it?