2-D Motion Estimation of Video Sequences with Influnce of Zero-Mean Gaussian Noise
Alternative metrics PlumXhttp://hdl.handle.net/11012/58284
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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).
Document typePeer reviewed
SourceRadioengineering. 1999, vol. 8, č. 4, s. 35-40. ISSN 1210-2512
- 1999/4