IPOL publishes relevant image processing and image analysis algorithms emphasizing the role of mathematics as a source for algorithm design. The publication is as precise and comprehensive as possible. To this aim, the publication of each algorithm is fourfold and includes:
- a manuscript containing the detailed description of the published algorithm, of its bibliography, along with commented examples and a failure case analysis;
- a software implementation of the algorithm in C, C++ or Matlab;
- an online demo, where the algorithm can be tested on data sets uploaded by the users;
- an archive containing extensive online experiments.
The restricted goal of IPOL is to make accessible the algorithms in their uttermost explicit form to the scientific community. The publication of an algorithm by IPOL is different from, and complementary to a classic journal publication.
Authors having conceived a useful algorithm or piece of software for image processing and analysis can also submit directly a short paper with their description and implementation. The short papers follows the same guidelines as long papers for the manuscript and software. But they are not necessarily linked to an online demo. Short papers are also peer-reviewed.
IPOL is an open access journal: all content is freely available without charge to the users or their institutions. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission from the publisher or the authors, in accordance with the BOAI definition of open access.
The articles are distributed under a Creative Commons CC-BY-NC-SA license: users are free to copy, distribute, transmit and adapt the articles for non-commercial purposes if they attribute the work to the authors and maintain this license. The implementations are distributed under a free software license; please refer to each implementation for more detail about the licensing option.
IPOL authors do not necessarily need to be the inventors of the algorithms they publish. IPOL authors only are the authors of a particular algorithm implementation, and of its accurate description. IPOL publishes new, but also basic and well-known algorithms. IPOL therefore does not guarantee the novelty of the published algorithms, nor the novelty or validity of their underlying theory. When the submitted algorithm is new, IPOL encourages a parallel submission by the authors to classic journals. A submitted algorithm and code may use several other algorithms and computer programs. In that case, the authors must specify the part which is submitted to IPOL. Only this part will be evaluated.
IPOL welcomes submissions of algorithms based on theories submitted or already published in journal papers.
In particular, joint submissions to IPOL and SIIMS (SIAM Journal of Imaging Science) are encouraged. Reviews are separate and independent, and acceptance/rejection of the submissions for one journal is not conditioned in any form either on the submission or acceptance/rejection on the other.
Upon acceptance, cross links between both electronic articles will be placed, so readers will be able to automatically navigate between the SIIMS and IPOL complementary materials.
The success of image processing algorithms depends on the quality of the data they process and on the reliable information about how these data were obtained. The algorithms evaluation should be systematically performed on high quality data shared among many researchers. Their properties have to be certified in the best possible way. IPOL welcomes the submission of images with certified acquisition properties (noise, blur, raw images, etc), hyperspectral images, biological or medical image sets, high resolution 3D data, synthetic or natural image sets or movies with certified 3D ground truth, images in a certain category like for example textures, etc.
These datasets must be submitted as a web page explaining thoroughly how the data have been obtained, how they can be used and with all additional information that can help researchers to use them properly. The submissions will be evaluated by referees by the same procedure as for other IPOL articles.
IPOL is indexed by Google Scholar, DBLP, DOAJ, SHERPA/RoMEO, Héloïse, WorldCat, CrossRef, Ulrich, Index Copernicus, VisionBib, CVonline, JournalSeek and MathScinet. Work is on the way to expand this indexation to other databases.
An image processing workshop repository service is offered to the members of labs supporting IPOL. It is not a publication service. Workshops can be temporary and can have restricted access. The workshops are a vector for IPOL labs to exchange freely their algorithms and codes, to favor intensive experiments, and to build up complex image processing chains.
IPOL - Image Processing on Line
Administration: Sandra Doucet
publisher at ipol.im