Image optimisation using dynamic load balancing

Abstract

Image processing with variable measured gadgets with various resolutions and display sizes is a basic errand. For variable display sized gadgets, maintaining the quality of image is the major challenging task. The present investigation test highlights dynamic load balancing-based way to deal with this issue. Dynamic load balancing is applied using both parallel and pipelined architectures based on runtime state information of underlying resources. In exhibit think, we have considered image processing task as both CPU and memory intensive task and the impact of architectural contrast is studied. The optimally-sized image for a targeted display-sized device with better resolution is provided using three staged either pipelined or parallel processing. The steps involved in processing are resizing, quantisation and compression. This technique likewise gives better resource and storage utilisation.

Dynamic load balancing in image retargeting using pipeline architecture

“…In dynamic load balancing [1,4,5,9,11,12,24,26,27,28,29], run time decision making is done which results better resource provisioning whereas in static compile time decision making is done.…”