Title :
Space-frequency localized image compression
Author :
Wong, Ping Wah ; Noyes, Steven
Author_Institution :
Hewlett-Packard Co., Palo Alto, CA, USA
fDate :
5/1/1994 12:00:00 AM
Abstract :
Subband and wavelet-based image compression can be viewed as frequency oriented techniques because each subimage in the decomposition is essentially a band-pass version of the original image. The authors suggest a space-frequency partition scheme to fully exploit the excellent localization properties of wavelets in both the spatial and frequency domains. Due to the relatively large number of blocks in this partition compared with traditional subband coders, the rate required for communicating the quantizer configurations must be taken into account. An iterative bit allocation algorithm is suggested that minimizes the mean square error given the overall rate for specifying the quantization configuration and for quantizing the wavelet coefficients. Images encoded using scalar quantization under this scheme show improvements in PSNR versus rate over traditional subband and wavelet-based methods
Keywords :
data compression; frequency-domain analysis; image coding; iterative methods; wavelet transforms; frequency domains; frequency oriented techniques; iterative bit allocation algorithm; localization properties; mean square error; quantizer configurations; scalar quantization; space-frequency localized image compression; space-frequency partition scheme; spatial domain; subimage; wavelet coefficients; Bit rate; Frequency domain analysis; Image coding; Iterative algorithms; Mean square error methods; PSNR; Partitioning algorithms; Quantization; Wavelet coefficients; Wavelet domain;
Journal_Title :
Image Processing, IEEE Transactions on