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An FFT-Based Full-Search Block Matching Algorithm with Sum of Squared Differences Criterion

Zhen LI, Atushi UEMURA, Hitoshi KIYA

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Summary :

An FFT-based full-search block matching algorithm (BMA) is described that uses the sum of squared differences (SSD) criterion. The proposed method does not have to extend a real signal into complex one. This reduces the computational load of FFT approaches. In addition, if two macroblocks share the same search window, they can be matched at the same time. In a simulation of motion estimation, the proposed method achieved the same performance as a direct SSD full search and its processing speed is faster than other FFT-based BMAs.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E93-A No.10 pp.1748-1754
Publication Date
2010/10/01
Publicized
Online ISSN
1745-1337
DOI
10.1587/transfun.E93.A.1748
Type of Manuscript
PAPER
Category
Digital Signal Processing

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