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Quaternion Wavelet Frame Rate Up-Conversion

2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME), 2017
In this paper, we propose a new Frame Rate Up-Conversion (FRUC) method based on Quaternion Wavelet Transform (QWT) to reduce the computational complexity and to improve the peak signal-to-noise ratio (PSNR) performance. The proposed QWT based method enhance the frame rate of video sequence, using Motion Compensated Frame Interpolation (MCFI).
Sahar Khoubani   +2 more
openaire   +1 more source

Occlusion handling frame rate up-conversion

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
Motion-compensated frame interpolation (MCFI) is a technique used extensively to enhance the temporal resolution of video sequences. In order to obtain a high quality interpolation, the motion vector field (MVF) between frames must be well-estimated. However, many current techniques for determining the MVF are prone to errors in occlusion regions.
Yong Guo   +3 more
openaire   +1 more source

Fast frame rate up-conversion based on multiple frames

2011 IEEE International Conference on Multimedia and Expo, 2011
Frame rate up conversion (FRUC) can be used to enhance the visual quality by increasing the frame rate without extra data. In this paper, we propose a fast and efficient FRUC algorithm for H.264 coded image sequences. The candidate motion vectors of an interpolated frame are chosen from the collocated and spatially adjacent blocks.
null Shih-Hsuan Yang, null Chia-Chi Yang
openaire   +1 more source

Frame rate up conversion for multiview video

2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2016
In this paper, we propose a new frame rate up conversion method for multiview video. The proposed method uses the depth map and neighboring view information for the improvement of motion estimation and compensation accuracy. In details, it decomposes a block into multiple layers with depth map.
Yoonmo Yang, Dohoon Lee, Byung Tae Oh
openaire   +1 more source

Frame rate up-conversion considering multiple motion

Proceedings of International Conference on Image Processing, 2002
Because of different television standards, format conversion is necessary to interchange video programs globally. To this end, temporal interpolation is required for conversion between formats with different frame rate. Adaptive interpolation based on motion estimation offers movement-oriented filtering and provides significant improvement over other ...
K. Kawaguchi, S.K. Mitra
openaire   +1 more source

Frame Rate Up-Conversion under Stationary Constraints of Spatio-Temporal Local Motion

2022 IEEE 5th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE), 2022
Aiming at the unreliable and over-smoothing problems of the initial motion vector field in existing smoothing methods, a motion vector field smoothing algorithm is proposed.
Wendan Ma, Fan Li, Wenjing Yu
semanticscholar   +1 more source

Frame rate up-conversion using nonparametric estimator

2014 IEEE International Conference on Image Processing (ICIP), 2014
In some applications such as digital video broadcasting, video is transmitted over a low capacity channel with lower frame rates. The lower the frame rate, the jerkier or unevener the video motion would be noticed. To solve this problem, frame rate up conversion (FRUC) is employed to increase the frame rate.
Roozbeh Dehghannasiri   +2 more
openaire   +1 more source

Frame Rate Up-Conversion Using Trilateral Filtering

IEEE Transactions on Circuits and Systems for Video Technology, 2010
Frame rate up-conversion (FRUC) can enhance the visual quality of low frame rate video presented on liquid crystal display. To minimize the difference between a reference block and an interpolated block, an effective FRUC algorithm partitions a large block into several sub-blocks of smaller size and estimates their motions.
null Ci Wang   +3 more
openaire   +1 more source

Frame Rate Up-Conversion Algorithm Based on Infrared Image

International Conference on Computer Modeling and Simulation, 2021
With the more and more common use of infrared video in life, people have higher and higher requirements for infrared imaging frame rates. Better quality infrared images provide a better basis for subsequent target recognition, video compression and ...
T. Han, Shiguo Chen, Jingcheng Shi
semanticscholar   +1 more source

Identification of Frame-Rate Up-Conversion Based on Spatial-Temporal Edge and Occlusion with Convolutional Neural Network

International Symposium on Circuits and Systems, 2020
Frame-Rate Up-Conversion (FRUC) is a frame-based video manipulation where synthesized frames are periodic inserted into two consecutive frames to increase the frame-rate of videos. Thus, it can be employed by counterfeiters for falsifying high frame rate
Xiangling Ding, Yanming Huang
semanticscholar   +1 more source

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