high order interpolation
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2022 ◽  
Vol 167 ◽  
pp. 104477
Author(s):  
Hong Luo ◽  
Jianwu Yu ◽  
Lijun Li ◽  
Kaifeng Huang ◽  
Yuming Zhang ◽  
...  

2021 ◽  
Vol 40 (8) ◽  
pp. 1-16
Author(s):  
D. Lin ◽  
L. Seiler ◽  
C. Yuksel

Author(s):  
Gang Wang ◽  
Hexin Chen ◽  
Mianshu Chen ◽  
Qiang Zhao ◽  
Yingjie Song

In order to further improve fractional-pel interpolation image quality of video sequence with different resolutions and reduce algorithm complexity, the fractional-pel interpolation algorithm based on adaptive filter (AF_FIA) is proposed. This algorithm adaptively selects the interpolation filters with different orders according to the three video sequence regions with different resolutions; in the three video sequence regions with different resolutions, the high-order interpolation filter is replaced by low-order interpolation filter according to the correlation between pixels to realize the adaptive selection of filter. The complexity analysis results show that compared with other algorithms, this algorithm reduces space complexity and computation complexity, thus reducing the storage access and coding time. The simulation results indicate that compared with other algorithms, this algorithm has good coding performance and robustness for video sequences with different resolutions.


2016 ◽  
Vol 20 (2) ◽  
pp. 325-352
Author(s):  
Guilherme Cunha ◽  
Stéphane Redonnet

AbstractThe present work constitutes a fraction of a more extensive study that is devoted to numerical methods in acoustics. More precisely, we address here the interpolation process, which is more and more frequently used in Computational Acoustics–whether it is for enabling multi-stage hybrid calculations, or for easing the proper handling of complex configurations via advanced techniques such as Chimera grids or Immersed Boundary Conditions. In that regard, we focus on high-order interpolation schemes, so as to analyze their intrinsic features and to assess their effective accuracy. Taking advantage of specific insights that had been previously achieved by the present authors regarding standard high-order interpolation schemes (of centered nature), we here focus on their so-calledspectral-like optimizedcounterparts (of both centered and noncentered nature). The latter spectral-like optimized schemes are analyzed thoroughly thanks to dedicated theoretical developments, which allow highlighting better what their strengths and weaknesses are. Among others, the various ways such interpolation schemes can degrade acoustic signals they are applied to are carefully investigated from a theoretical point-of-view. Besides that, specific criteria that could help in optimizing interpolation schemes better are provided, along with generic rules about how to minimize the signal degradation induced by existing interpolation schemes, in practice.


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