DocumentCode :
3606866
Title :
LBP Encoding Schemes Jointly Utilizing the Information of Current Bit and Other LBP Bits
Author :
Jianfeng Ren ; Xudong Jiang ; Junsong Yuan
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
Volume :
22
Issue :
12
fYear :
2015
Firstpage :
2373
Lastpage :
2377
Abstract :
Local binary pattern (LBP) is sensitive to image noise. Noise-resistant LBP (NRLBP) improves the robustness to noise by incorporating the prior knowledge of images and information of other LBP bits into encoding process. However, it encodes the small pixel difference in such a way that its sign and magnitude are ignored. Although the small pixel difference may be easily distorted by noise, some of its information is still useful for LBP encoding. In this letter, we propose two enhanced NRLBPs that jointly utilize the sign and the magnitude of the current pixel difference, and also the information of other LBP bits. The proposed approaches are validated on two benchmark databases and demonstrate a superior performance compared with NRLBP and other LBP variants. The performance gain is significant when the noise level is high.
Keywords :
image coding; image denoising; LBP bit; LBP encoding scheme; LBP variants; NRLBP; current bit; image noise; local binary pattern; noise resistant LBP; performance gain; pixel difference magnitude; pixel difference sign; Databases; Distortion; Encoding; Face recognition; Histograms; Image coding; Noise; Face recognition; NRLBP+; NRLBP++; noise-resistant local binary pattern;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2015.2481435
Filename :
7274670
Link To Document :
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