Frame Interpolation Algorithm Using Improved 3-D Recursive Search

2018 ◽  
pp. 203-212
Author(s):  
HongGang Xie ◽  
Lei Wang ◽  
JinSheng Xiao ◽  
Qian Jia
Keyword(s):  
Interpolation Algorithm ◽  
Frame Interpolation ◽  
Recursive Search

scholarly journals Frame Interpolation Based on Visual Correspondence and Coherency Sensitive Hashing

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Lingling Zi ◽  
Junping Du ◽  
Qian Wang
Keyword(s):  
Video Sequences ◽  
Interpolation Algorithm ◽  
Surveillance Video ◽  
Intelligent Monitoring ◽  
Frame Interpolation ◽  
Detection Approach ◽  
Visual Correspondence ◽  
Predicted Values ◽  
The One

The technology of frame interpolation can be applied in intelligent monitoring systems to improve the quality of surveillance video. In this paper, a region-guided frame interpolation algorithm is proposed by introducing two innovative improvements. On the one hand, a detection approach is presented based on visual correspondence for detecting the motion regions that correspond to attracted objects in video sequences, which can narrow the prediction range of interpolated frames. On the other hand, spatial and temporal mapping rules are proposed using coherency sensitive hashing, which can obtain more accurate predicted values of interpolated pixels. Experiments show that the proposed method can achieve encouraging performance in terms of visual quality and quantitative measures.

NEW MULTIPLE FRAME MOTION COMPENSATED INTERPOLATION ALGORITHM FOR FRAME RATE UP-CONVERSION

2008 ◽  
Vol 17 (05) ◽  
pp. 835-844
Author(s):  
ZHUO XUE ◽  
KOK-KEONG LOO ◽  
JOHN COSMAS ◽  
PIK-YEE YIP
Keyword(s):  
Hardware Implementation ◽  
Frame Rate ◽  
Perceptual Quality ◽  
Interpolation Algorithm ◽  
Frame Interpolation ◽  
Multiple Frames ◽  
Multiple Frame ◽  
Frame Rate Up Conversion ◽  
Frame Motion ◽  
Multiple Reference

In this paper, a new frame rate up-conversion (FRC) using Backward Multiple Reference Frame Motion (BMRF) compensated interpolation (MCI) algorithm is proposed. The BMRF algorithm has been compared with two most common MCI methods, Temporal Linear (TLIN) and Bidirectional MCI (BID) used in FRC, in the aspect of PSNR, perceptual quality, and computational complexity. The simulation results clearly showed that BMRF presented a trade-off solution between computation and interpolation quality. By using simple weighted frame interpolation between multiple frames, it reduced computation rapidly while keeping similar interpolation quality when compared to the BID method. The simplicity of the BMRF algorithm made it suitable for either software or hardware implementation essential for real-time FRC applications.

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