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Performance analysis of diamond search algorithm over full search algorithm

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Abstract

Motion estimation is a progression used to estimate motion vectors between two or more images with a high degree of temporal redundancy. It is commonly used in video compression to attain high compression ratios as well as used in several applications for object tracking. In this paper a novel approach for diamond search algorithm has been recommended to overcome the problem encountered by several existing block matching algorithms especially with full search algorithm in reference of peak signal-to-noise ratio, required number of examine or search points as well as computational complexity. Simulation results reflect that recommended algorithm acting well compared to all existing algorithms. Experimentally 88–99% of the motion vectors are found inside the circle which has radius of 3-pixel unit and fixed on the place of zero motion. The proposed algorithm is used to implement various standards examples such as MPEG1 and MPEG4.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, National Institute of Technology, Hamirpur, HP, India

    Rahul Priyadarshi, Surender Kumar Soni & Rampal Bhadu

  2. Department of Electronics and Communication Engineering, Birla Institute of Technology Mesra, Ranchi, JH, India

    Vijay Nath

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  1. Rahul Priyadarshi
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  2. Surender Kumar Soni
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  3. Rampal Bhadu
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  4. Vijay Nath
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Correspondence to Rahul Priyadarshi.

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Priyadarshi, R., Soni, S.K., Bhadu, R. et al. Performance analysis of diamond search algorithm over full search algorithm. Microsyst Technol 24, 2529–2537 (2018). https://doi.org/10.1007/s00542-017-3625-0

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  • DOI: https://doi.org/10.1007/s00542-017-3625-0

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