Face Illumination Processing Using Discrete Cosine Transform and Wallis Algorithm
Abstract: In this paper, a novel approach based on discrete cosine transform (DCT) and Wallis for face illumination is discussed. Firstly, the DCT is calculated in logarithm domain for face image. Some low-frequency coefficients are discarded in zigzag pattern. Secondly, after inverse discrete cosine transform (IDCT), the Wallis algorithm is used to enhance the high-frequency detail of face image. Thirdly, the principal component analysis (PCA) and the nearest neighborhood classifier using cosine distance are adopted for face recognition. The experiment results on Yale B frontal face database demonstrate that the presented algorithm can decrease the influence of face illumination. The face recognition rate has a good effect when some parameters are chosen properly.
文章引用: 杨志军 , 何 雪 , 熊文怡 , 聂祥飞 (2016) 利用离散余弦变换与Wallis的人脸光照处理算法。 图像与信号处理， 5， 81-87. doi: 10.12677/JISP.2016.53011
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