Fractional-pel Interpolation Algorithm Based on Adaptive Filter

被引：2

作者：

Wang, Gang ^{[1
]}

Chen, Hexin ^{[2
]}

Chen, Mianshu ^{[2
]}

Zhao, Qiang ^{[1
]}

Song, Yingjie ^{[3
]}

机构：

[1] Baicheng Normal Univ, Sch Mech Engn, Baicheng 137000, Peoples R China

[2] Jilin Univ, Coll Commun Engn, Changchun 130012, Peoples R China

[3] Changchun Univ, Sch Mech & Vehicle Engn, Changchun 130022, Peoples R China

来源：

INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE | 2020年 / 34卷 / 08期

基金：

中国国家自然科学基金;

关键词：

Adaptive filter; resolution; computation complexity; peak signal noise ratio; code rate; VIDEO; OPTIMIZATION;

D O I：

10.1142/S0218001420540221

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页数：23

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