Title :
Fast oil paint image filter algorithm: Optimization at overlapped sub-pixel
Author :
Mukherjee, Sayan ; Chudgar, Haresh S.
Author_Institution :
DMC R&D Centre, Samsung R&D Inst., Bangalore, India
Abstract :
Fast Oil Paint Image filter is a performance optimized oil paint algorithm. Current oil paint algorithms are CPU intensive and take a long time to produce the output; further the time taken increases exponentially with increasing quality. One of the main causes is re-computation. The proposed algorithm significantly reduces re-computation reducing the processing time by approximately 86%. The research also evaluates the algorithm using the parallel programming approach.
Keywords :
filtering theory; image processing; parallel programming; CPU; fast oil paint image filter algorithm; optimization algorithm; parallel programming approach; Approximation algorithms; Arrays; Filtering algorithms; Image resolution; Kernel; Lubricating oils; Paints; Colour Image Processing; Image Filters; Oil Paint; Parallel programing; Spatial filtering;
Conference_Titel :
Advances in Electronics, Computers and Communications (ICAECC), 2014 International Conference on
Conference_Location :
Bangalore
DOI :
10.1109/ICAECC.2014.7002406
