Research on face aging characteristics synthesis based on wavelet and image enhancement

Abstract

Facial aging characteristics synthesis is useful for face recognition system. After analyzing characteristics of human face images, image enhancement technology was used to strengthen the details of high frequency part of face image decomposed by wavelet, and Butterworth high-pass filter was used to extract high frequency details of low frequency part, thereby reducing details lost. Experiment results show that aging effect is obvious, and that the algorithm has good robustness, real-time performance and accuracy.