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Finding faces in wavelet domain for content-based coding of color images

Human face images form the important database in police departments, banks, security kiosks, and they are also found in abundance in day-to-day life. In these databases the important content, of course, is the face region. We present a highly efficient system that detects the human faces in the wavelet transform for discriminative quantization to achieve high perceptual quality content-based image coding technique. The proposed method gives superior subjective performance over JPEG without sacrificing the performance in the rate-distortion spectrum.