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