Embedded lossy image compression based on wavelet transform

M.B. Pardo1, C.T. van der Reijden2
1Área de Arquitectura de Computadores ESCET, Universidad Rey Juan Carlos de Madrid, Madrid, Spain
2Departamento de Arquitectura de Computadores y Automática, Universidad Complutense de Madrid, Spain

Tóm tắt

This paper describes an algorithm for embedded lossy image compression based on the discrete wavelet transform (DWT) and the zerotree coding scheme (EZW). In this algorithm there are two lossy stages, a rounding operation after the transform and a truncation of the coding output. A comparative study of different filter banks (from different wavelet families and with different filter lengths) for the wavelet transform and different image scans for the encoding is presented. We show their impact in realistic image compression results for our algorithm, specially in compression ratio and reconstruction error.

Từ khóa

#Image coding #Wavelet transforms #Discrete wavelet transforms #Filter bank #Multiresolution analysis #Low pass filters #Image reconstruction #Computer errors #Embedded computing #Discrete transforms

Tài liệu tham khảo

10.1109/83.128029 10.1109/78.258085 10.1109/76.499834 10.1109/ICASSP.2000.859239 10.1109/ICIP.1997.647983 10.1137/S0036141095289051 10.1109/83.913585 xiong, 2000, Wavelet packet image coding using space-frecuency quantization, IEEE Trans Image Processing, 9, 792 10.1109/83.480760 10.1109/78.124952 10.1109/34.192463 10.1109/ANZIIS.2001.974083 10.1145/214762.214771