IPOL Journal Image Processing On Line

IPOL is a research journal of image processing and image analysis which emphasizes the role of mathematics as a source for algorithm design and the reproducibility of the research. Each article contains a text on an algorithm and its source code, with an online demonstration facility and an archive of experiments. Text and source code are peer-reviewed and the demonstration is controlled. IPOL is an Open Science and Reproducible Research journal.

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Pascal Getreuer

I am an applied mathematician specialized in image processing. I am a software engineer in Google Research, a part time collaborator to CMLA, ENS Cachan, and an editorial board and tech team member of the journal Image Processing On Line. A Survey of Gaussian Convolution Algorithms, IPOL.

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PAGE TITLE

IPOL Journal Image Processing On Line

DESCRIPTION

IPOL is a research journal of image processing and image analysis which emphasizes the role of mathematics as a source for algorithm design and the reproducibility of the research. Each article contains a text on an algorithm and its source code, with an online demonstration facility and an archive of experiments. Text and source code are peer-reviewed and the demonstration is controlled. IPOL is an Open Science and Reproducible Research journal.

CONTENT

This site ipol.im states the following, "IPOL Journal Image Processing On Line." We noticed that the website also said " Gestaltic Grouping of Line Segments." It also stated " Boshra Rajaei, Rafael Grompone von Gioi. Contours, Corners and T-Junctions Detection Algorithm. Antoni Buades, Rafael Grompone von Gioi, Julia Navarro. The Production of Ground Truths for Evaluating Highly Accurate Stereovision Algorithms. A Contrario 3D Point Alignment Detection Algorithm. XC1;lvaro Gómez, Gregory Randall, Rafael Grompone von Gioi." The header had IPOL image processing on line image processing online research algorithm code source code software journal publication demonstration demo reproducible reproducible research open open source open access open data as the highest ranking keyword.

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