The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
우리는 프레임 속도 상향 변환을 위해 퍼지 가중치와 벡터 중앙값 필터링을 사용하는 새로운 모션 벡터(MV) 평활화를 제안했습니다. 퍼지 추론 시스템은 블록 차이 및 블록 경계 왜곡을 포함한 MV 필드의 로컬 특성을 기반으로 가중치를 조정합니다. 퍼지 가중치는 MV 평활화 프로세스에서 이상값과 불규칙한 MV의 영향을 제거합니다. 시뮬레이션 결과는 제안된 알고리즘이 잘못된 MV를 효율적으로 수정하여 기존 방법보다 보간된 프레임의 시각적 품질을 향상시킬 수 있음을 보여줍니다.
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Vinh TRUONG QUANG, Sung-Hoon HONG, Young-Chul KIM, "Fuzzy-Based Motion Vector Smoothing for Motion Compensated Frame Interpolation" in IEICE TRANSACTIONS on Fundamentals,
vol. E93-A, no. 8, pp. 1578-1581, August 2010, doi: 10.1587/transfun.E93.A.1578.
Abstract: We proposed a new motion vector (MV) smoothing using fuzzy weighting and vector median filtering for frame rate up-conversion. A fuzzy reasoning system adjusts the weighting values based on the local characteristics of MV field including block difference and block boundary distortion. The fuzzy weighting removes the affect of outliers and irregular MVs from the MV smoothing process. The simulation results show that the proposed algorithm can efficiently correct wrong MVs and thus improve visual quality of the interpolated frames better than conventional methods.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E93.A.1578/_p
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@ARTICLE{e93-a_8_1578,
author={Vinh TRUONG QUANG, Sung-Hoon HONG, Young-Chul KIM, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Fuzzy-Based Motion Vector Smoothing for Motion Compensated Frame Interpolation},
year={2010},
volume={E93-A},
number={8},
pages={1578-1581},
abstract={We proposed a new motion vector (MV) smoothing using fuzzy weighting and vector median filtering for frame rate up-conversion. A fuzzy reasoning system adjusts the weighting values based on the local characteristics of MV field including block difference and block boundary distortion. The fuzzy weighting removes the affect of outliers and irregular MVs from the MV smoothing process. The simulation results show that the proposed algorithm can efficiently correct wrong MVs and thus improve visual quality of the interpolated frames better than conventional methods.},
keywords={},
doi={10.1587/transfun.E93.A.1578},
ISSN={1745-1337},
month={August},}
부
TY - JOUR
TI - Fuzzy-Based Motion Vector Smoothing for Motion Compensated Frame Interpolation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1578
EP - 1581
AU - Vinh TRUONG QUANG
AU - Sung-Hoon HONG
AU - Young-Chul KIM
PY - 2010
DO - 10.1587/transfun.E93.A.1578
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E93-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2010
AB - We proposed a new motion vector (MV) smoothing using fuzzy weighting and vector median filtering for frame rate up-conversion. A fuzzy reasoning system adjusts the weighting values based on the local characteristics of MV field including block difference and block boundary distortion. The fuzzy weighting removes the affect of outliers and irregular MVs from the MV smoothing process. The simulation results show that the proposed algorithm can efficiently correct wrong MVs and thus improve visual quality of the interpolated frames better than conventional methods.
ER -