Color image compression using an embedded rate scalable approach

In this paper we propose a wavelet based coding algorithm for color images using a luminance/chrominance color space. Data rate scalability is achieved by using an embedded coding scheme, which is similar to Shapiro's (1993) embedded zerotree wavelet (EZW) algorithm. In a luminance/chrominance color space, the three color components have little statistical correlation. However, observations are made that at the spatial locations where chrominance signals have large transitions, it is highly likely for the luminance signal to have large transitions. This interdependence between the color components is exploited in the algorithm.

[1]  P. W. Jones,et al.  Digital Image Compression Techniques , 1991 .

[2]  Peter F. M. Nacken.  Image segmentation by connectivity preserving relinking in hierarchical graph structures , 1995, Pattern Recognit..

[3]  Gelson V. Mendonça,et al.  Enhanced zerotree wavelet transform image coding exploiting similarities inside subbands , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[4]  Azriel Rosenfeld,et al.  Hierarchical Image Analysis Using Irregular Tessellations , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Edward J. Delp,et al.  A control scheme for a data rate scalable video codec , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[6]  Sankar K. Pal,et al.  A review on image segmentation techniques , 1993, Pattern Recognit..

[7]  C. Rubinstein,et al.  Plateau Coding of the Chrominance Component of Color Picture Signals , 1974, IEEE Trans. Commun..

[8]  Michel Barlaud,et al.  Image coding using wavelet transform , 1992, IEEE Trans. Image Process..

[9]  Jerome M. Shapiro,et al.  Embedded image coding using zerotrees of wavelet coefficients , 1993, IEEE Trans. Signal Process..

[10]  Rangasami L. Kashyap,et al.  A tree structured Bayesian scalar quantizer for wavelet based image compression , 1994, Proceedings of 1st International Conference on Image Processing.

[11]  R. Haralick.  Edge and region analysis for digital image data , 1980 .

[12]  H. Hotelling.  Analysis of a complex of statistical variables into principal components. , 1933 .

[13]  A. Netravali,et al.  Luminance Adaptive Coding of Chrominance Signals , 1979, IEEE Trans. Commun..

[14]  C. Rubinstein,et al.  Statistical Dependence Between Components of a Differentially Quantized Color Signal , 1972, IEEE Trans. Commun..

[15]  William A. Pearlman,et al.  A new, fast, and efficient image codec based on set partitioning in hierarchical trees , 1996, IEEE Trans. Circuits Syst. Video Technol..