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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.

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.

In today's smart world demand of efficient multimedia based communication has increased at a rapid rate. Diversity on display sizes of gadgets used for multimedia communication confines the quality of images. Image retargeting is used as the focal solution to this problem which results in images with appropriate sizes. Enormously mounting demand of image retargeting expedites the rate of increment in computational load. This research paper expatiate and experiments a dynamic load balancing based three phase image retargeting methodology using pipeline architecture. In the first phase of image retargeting resize operation is performed on input image which results in multiple sized image copies of the same image. In the second phase resized images undergo quantization operation. In the final phase lossless compression is performed to have an expedient image. In the proposed exhibit think, we have done statistical analysis of results obtained, to confirm an impartial dynamic load balancing with a better degree of underlying resource utilization. We extend the approach to achieve significant storage optimization using three phase image retargeting.