.png){kind=icon}
.png){kind=icon}
Return
Adaptive Temporal Frame Interpolation Algorithm for Frame Rate Up-Conversion
.png){kind=icon}
PRE
AI
DOI：10.1109/MCE.2019.2956208.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This article presents a novel adaptive temporal frame interpolation (FI) algorithm for frame rate up-conversion with reduced complexity. According to the adaptability criteria in the proposed algorithm, frames with a low temporal activity are interpolated using frame averaging, which significantly decreases the algorithm complexity. In the case of a high temporal activity, motion compensated FI is used and the high quality of interpolated frames is achieved. Compared to well-known frame rate up-conversion algorithms, the proposed approach is of significantly lower computational complexity, while maintaining the high quality of the interpolated frames.
Keywords:
Interpolation
Consumer electronics
Estimation
Motion estimation
Computational complexity
Performance evaluation
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4.1
Papers:
1.3K
Citations:
1.8K