Michaël Roynard

In Proceedings of the 21st international conference on generative programming: Concepts & experiences (GPCE 2022)

Abstract C++ is a multi-paradigm language that enables the programmer to set up efficient image processing algorithms easily. This language strength comes from many aspects. C++ is high-level, so this enables developing powerful abstractions and mixing different programming styles to ease the development. At the same time, C++ is low-level and can fully take advantage of the hardware to deliver the best performance. It is also very portable and highly compatible which allows algorithms to be called from high-level, fast-prototyping languages such as Python or Matlab.

An image processing library in modern C++: Getting simplicity and efficiency with generic programming

By Michaël Roynard, Edwin Carlinet, Thierry Géraud

2018-10-25

In Proceedings of the 2nd workshop on reproducible research in pattern recognition (RRPR 2018)

Abstract As there are as many clients as many usages of an Image Processing library, each one may expect different services from it. Some clients may look for efficient and production-quality algorithms, some may look for a large tool set, while others may look for extensibility and genericity to inter-operate with their own code base… but in most cases, they want a simple-to-use and stable product. For a C++ Image Processing library designer, it is difficult to conciliate genericity, efficiency and simplicity at the same time.

A modern C++ point of <i>view</i> of programming in image processing

An image processing library in modern C++: Getting simplicity and efficiency with generic programming

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