Color face image enhancement using adaptive singular value decomposition in fourier domain for face recognition

作者：

Highlights：

• Adaptive singular value decomposition in the Fourier domain is proposed for face recognition.

• Self-adapted illumination compensation is devised to overcome lighting variation.

• Experimental results are demonstrated on CMU, FERET, and FEI databases to verify the effectiveness.

摘要

•Adaptive singular value decomposition in the Fourier domain is proposed for face recognition.•Self-adapted illumination compensation is devised to overcome lighting variation.•Experimental results are demonstrated on CMU, FERET, and FEI databases to verify the effectiveness.

论文关键词：Face recognition,Image enhancement,Singular value decomposition,Two-dimensional discrete Fourier transform

论文评审过程：Received 1 November 2015, Revised 8 March 2016, Accepted 15 March 2016, Available online 25 March 2016, Version of Record 6 May 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.03.021