Abstract
Nowadays, enormously expanding use of mobile gadgets for capturing images is getting overwhelming response. This fact results in a tremendously increasing usage of digital images. To maintain the quality of vastly pervading digital images on variable sized display contraptions becomes a pensive task for a Web administrator. We are providing a three-leveled image retargeting approach on a parallel architecture with ranking-based dynamic load balancing (RBDLB). Image retargeting is both computational and memory intensive task. Static load balancing cannot offer equity to image retargeting errand as incoming image jobs are required to be processed at dynamic time. The motive of thought process of this undertaking is to provide a good response time and efficient resource utilization in a task of image retargeting without compromising quality of image.
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Patil, G.V., Deshpande, S.L. (2019). Image Retargeting Using Dynamic Load Balancing-Based Parallel Architecture. In: Wang, J., Reddy, G., Prasad, V., Reddy, V. (eds) Soft Computing and Signal Processing . Advances in Intelligent Systems and Computing, vol 898. Springer, Singapore. https://doi.org/10.1007/978-981-13-3393-4_34
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DOI: https://doi.org/10.1007/978-981-13-3393-4_34
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