SUCRA(さくら: Saitama University Cyber Repository of Academic Resources)は、埼玉大学に在籍する研究者の学術雑誌論文、紀要論文、科学研究費補助金成果報告書、学位論文、研究発表プレゼン資料などを登録し、広く世界に発信しています。 埼玉大学に在籍する皆様は、著作物をSUCRAを通じて発信することができます。詳しくは「成果物の登録方法」をご覧ください。
In this paper, a new bits truncation adaptive pyramid (BTAP) algorithm for motion estimation is presented. The method employs bits truncation of the gray level from 8 bits to much less bits in the searching algorithm. Compared with conventional fast block matching algorithms, this method drastically improves speed for motion estimation on reduced gray-level images and preserves reasonable performance and algorithm reliability. Bits truncation concept is well combined with hierarchical pyramid algorithm in order to truncate adaptively according to image characteristics. The computation complexity is much less than that of pyramid algorithm and 3-Step motion estimation algorithm because of bit-truncated search and low overhead adaptation. Nevertheless, the PSNR property is also comparable with these two algorithms for various video sequences.
Bits Truncation Adaptive Pyramid Algorithm for Motion Estimation of MPEG2 (Special Section on Digital Signal Processing)
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SUCRAの概要
