Face Recognition Based on Multi-scale Retinex in Discrete Wavelet Transform Model under Difficult Lighting Condition
Tao Gao · Video Engineering · 2012
Multi-Scale Retinex(MSR) in discrete wavelet transform model is presented to make up disadvantages of Retinex model while dealing with face images with shadows.In the wavelet domain,low frequency wavelet coefficients are translated to log domain,and convolution operation is implemented between it and three types of different Gaussian filters coefficients.A weighted average of multi scale is gained and mapped to gray range of display device by method of gain/offset.Other three high frequency wavelet coefficients are remained.The result of MSR in discrete wavelet transform model is gained by IDWT of the weighted average result and other three high frequency wavelet coefficients.Finally,the translated images are recognized by fixed point Independent Component Analysis(ICA) and RBF.Experimental results with hypothesis testing show that face recognition system based on DWT-MSR model is superior to other methods in dealing with face images under various illuminations.