Study on performance improvement of oil paint image filter algorithm using parallel pattern library
This addresses a performance bottleneck for image processing applications, but appears incremental as it applies an existing parallel method to a known problem.
The paper tackled the performance issue of oil paint image filter algorithms, which suffer from exponential increases in processing time with larger kernel sizes, and explored using a parallel pattern library to improve efficiency, though no concrete performance numbers were provided.
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.