2-D Motion Estimation of Video Sequences with Influnce of Zero-Mean Gaussian Noise
Abstract
This paper presents the performance of four motion estimation algorithms with present of zero-mean Gaussian noise. The performance of full search (FS) algorithm, three-step search (TSS) algorithm, new three-step search (NTSS) algorithm, and four-step search (4SS) algorithm with influence of Gaussian noise has been described for three of famous video sequences. The critical signal-to-noise ratio (SNR) is introduced for each algorithm. The worst performance is often in case of full search algorithm (FS).
Keywords
motion comensation, full search, three-step search, new three-step search, four-step search, peak signal-to-noise-ratioPersistent identifier
http://hdl.handle.net/11012/58284Document type
Peer reviewedDocument version
Final PDFSource
Radioengineering. 1999, vol. 8, č. 4, s. 35-40. ISSN 1210-2512http://www.radioeng.cz/fulltexts/1999/99_04_08.pdf
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