2-D Motion Estimation of Video Sequences with Influnce of Zero-Mean Gaussian Noise
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Spolecnost pro radioelektronicke inzenyrstvi
1999-12-01
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| Series: | Radioengineering |
| Online Access: | http://www.radioeng.cz/fulltexts/1999/99_04_08.pdf |
| Summary: | 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). |
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| ISSN: | 1210-2512 |