2 . 4 GPU Accelerated Vector Median Filter GPU Accelerated Vector Median Filter

~ct~r r~e:~~~~~n j=a:~~e~a~~~t j~ea~ea~:~=i~ tasks. For t~ee chamel color jmag~, a widely used tecmique is expensive; for a window size of n x n each ~f the n~ vector: h:: ~=;r~~~·o~~ctor1 me1dla n ~It~ a~~ comp!J:alionally purp?se computation on graphics Processing urVts (GPUs) is the paradi m of ufliz" r "hi h voc Drs In Istances. General architectures f?r ~mputalion tasks that are normally handled by CPUs. In this ~rk. NVI~I~~ ec! -::erf~~~fi~~ m.any-cor~ GPU (C~DA) paradigm IS used to accelerate vector median filtering. which has to the best of our knowted~e neve b d ~ctitec~e pe or~ance?f GPU. accelerated vector median fi lter is com pared 10 that of the CPU and MPI-based ve~· een, °d~ff e or~ . e and Window Sizes, Initial findings of the stud h ed 100x ' IOns or I erent Image on GPUs over CPU implementations and fuJ~ro;pe_1ver ., 'mt~~veftment of perform,ance ~f ~ect?r median fi lter implementat ioo "'" up I expec "'" a er more extenSive optimizations of the GPU algor~hm .