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

Jayashree Karlekar; U. B. Desai

doi:10.1117/12.386672

30 May 2000 Finding faces in wavelet domain for content-based coding of color images: two approaches

Jayashree Karlekar, U. B. Desai

Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000) https://doi.org/10.1117/12.386672
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia

Abstract

Human face images form the important database in banks, security kiosks, police departments and they are also found in abundance in day-to-day life. In these databases the important content, of course is the face region. In this paper, we present two highly efficient methods for compression face images. The first method, which is lossy, detects the human faces in the wavelet domain for discriminative quantization to achieve high perceptual quality content-based image compression. This method gives superior subjective performance over JPEG standard without sacrificing the performance in the rate-distortion spectrum. The second method, which is lossy as well as lossless, also detects the human faces in the wavelet domain so that lossy/lossless mode can be selected dynamically for compression. This method gives the best solution to applications which can not tolerate losses for face regions. The method improves the overall coding efficiency by adapting lossy mode for non-face regions instead of coding entire image in lossless mode.

Citation Download Citation

Jayashree Karlekar and U. B. Desai "Finding faces in wavelet domain for content-based coding of color images: two approaches", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); https://doi.org/10.1117/12.386672

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KEYWORDS

Image compression

Facial recognition systems

Wavelets

Quantization

Detection and tracking algorithms

Wavelet transforms

Discrete wavelet transforms

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