|Title:||Optimization of non-uniform grid projection image super-resolution algorithms by reduced granularity and modified addressing||Authors:||Szydzik, T.
Callico, G. M.
|UNESCO Clasification:||3307 Tecnología electrónica||Keywords:||Image resolution
Algorithm design and analysis
|Issue Date:||2014||Publisher:||Institute of Electrical and Electronics Engineers (IEEE)||Conference:||2014 29th Conference on Design of Circuits and Integrated Systems, DCIS 2014||Abstract:||In this work, the factors of reduction of memory requirements and increase in memory traffic associated with the change from reference frame level (baseline algorithm) to macroblock-level for the Super-Resolution (SR) image restoration non-uniform grid projection algorithm are compared over combinations of algorithm parameter values. Then, based on the results of a study on the share of algorithm steps code in the total requirements, the code with larger room for optimization has been identified and optimized. The introduction of a new addressing scheme that takes advantage of the algorithms static characteristics have led to a state in which for 87 out of 96 tested combinations (QCIF frame format) the factor of memory occupancy reduction is greater than the factor of increase in memory traffic. This result opens a way for efficient hardware implementations.||URI:||http://hdl.handle.net/10553/45000||ISBN:||978-1-4799-5743-9||DOI:||10.1109/DCIS.2014.7035527||Source:||Proceedings of the 2014 29th Conference on Design of Circuits and Integrated Systems, DCIS 2014 (7035527)|
|Appears in Collections:||Actas de congresos|
checked on Feb 28, 2021