Result: Image Processing Without Sacrificing the Functional Paradigm.
Further Information
Functional programming can be called modern programming in that it enables robust development and favours the programmer over hardware and performance considerations. Some characteristic features of the functional paradigm, such as map, have indeed been introduced into languages of other programming paradigms, like C++ and JavaScript. In spite of this deserved success, some challenges remain, such as input-output (I/O) operations, which often involve compromises with respect to the functional model. For instance, heavy memory I/O applications may keep prospective users afar. In this paper, we give a constructive proof of the practicability of the functional paradigm for such a scenario, by concretely considering image processing with the functional programming language Racket (a Lisp dialect). Both theoretical and experimental quantitative evaluations are conducted to show the performance of the implemented algorithms. Furthermore, in an attempt at establishing the capabilities and versatility of functional programming, this work also covers parallel processing, on both a single core and multiple cores. [ABSTRACT FROM AUTHOR]
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