Interpolation scheme based on the Bayes classifier

被引:2
|
作者
Park, Sang-Jun [1 ]
Jeon, Gwanggil [2 ]
Wu, Jiaji [3 ]
Jeong, Jechang [4 ]
机构
[1] Hyundai Mobis Co Ltd, Vis Sensor Engn Team, Yongin, Gyunggi Do, South Korea
[2] Incheon Natl Univ, Dept Embedded Syst Engn, Inchon, South Korea
[3] Xidian Univ, Inst Intelligent Informat Proc, Minist Educ China, Key Lab Intelligent Percept & Image Understanding, Xian, Shaanxi, Peoples R China
[4] Hanyang Univ, Dept Elect & Comp Engn, Seoul 133791, South Korea
关键词
DEINTERLACING ALGORITHM; EDGE; MOTION; DIRECTION;
D O I
10.1117/1.JEI.22.2.023003
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Our purpose is to present an intrafield deinterlacing method using the Bayes classifier. The conventional intrafield deinterlacing methods interpolate the pixel along the local edge direction, but they yield interpolation errors when the local edge direction is determined to be wrong. On the basis of the Bayes classifier, the proposed algorithm performs region-based deinterlacing. The proposed algorithm utilizes an input feature vector that includes five directional correlations, which are used to extract the characteristics of the local region, to classify the local region. After the classification of the local region, one of the three simple interpolation methods, which possesses the highest probability to be used among the three, is chosen for the corresponding local region. In addition, we categorized the range of the feature vector to reduce the computational complexity. Simulation results show that the proposed Bayes classifier-based deinterlacing method minimizes interpolation errors. Compared to the traditional deinterlacing methods and Wiener filter-based interpolation method, the proposed method improves the subjective quality of the reconstructed image, and maintains a higher peak signal-to-noise ratio level. (c) 2013 SPIE and IS&T
引用
收藏
页数:9
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