Study on performance improvement of oil paint image filter algorithm using parallel pattern library

TL;DR

This paper investigates how using a parallel pattern library can enhance the performance of the computationally intensive oil paint image filter algorithm, especially as kernel size increases.

Contribution

It introduces a parallel pattern library-based approach to improve the efficiency of the oil paint image filter algorithm.

Findings

Processing time increases exponentially with kernel size

Parallel pattern library reduces processing time significantly

Performance improvements are demonstrated on RGB images

Abstract

This paper gives a detailed study on the performance of oil paint image filter algorithm with various parameters applied on an image of RGB model. Oil Paint image processing, being very performance hungry, current research tries to find improvement using parallel pattern library. With increasing kernel-size, the processing time of oil paint image filter algorithm increases exponentially.