Journal
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
Volume 54, Issue 3, Pages 1430-1438Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCE.2008.4637637
Keywords
super-resolution; motion estimation; motion vectors; block-matching; real-time processing; full search; new three step search
Funding
- Spanish Ministry of Education and Sciences (MEC) [TEC2005-08138-C02-01/MIC]
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In general, all the video Super-Resolution (SR) algorithms present the important drawback of a vel-v high computational load, mainly due to the huge amount of operations executed by the Motion Estimation (W) stage. Commonly, there is a trade-off between the accuracy of the estimated motion, given as a Motion Vector (MV), and the computational cost associated. In this sense, the ME algorithms that explore more exhaustively, the search area among images use to deliver better MVs, at the cost of a higher computational load and resources use. Due to this reason, the proper choice of a ME algorithm is a key factor not only, to reach real-time applications, but also to obtain high quality video sequences independently of their characteristics. Under the hardware point of view, the preferred ME algorithms are based on matching fixed-size blocks in different-frames. In this paper, a comparison of nine of the most representative Fast Block Matching Algorithms (FBMAs) is made in order to select the one which presents the best tradeoff between video quality and computational cost, thus allowing reliable real-time hardware implementations of video super-resolution systems(1)..
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