Title :
Wavelet based image coding via morphological prediction of significance
Author :
Servetto, Sergzo D. ; Ramchandran, Kannan ; Orchard, Michael T.
Author_Institution :
Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA
Abstract :
In previous work, we introduced a new image representation for the field of wavelet coefficients (dubbed MRWD), based on morphological operators. This work extends the MRWD framework, by addressing the effective design of image coding algorithms. First, we design an encoder with the goal of being optimal in the operational rate-distortion sense. Second, based on the same (morphological) techniques, we design a successively refinable version of the single rate coder. Simulation results are reported
Keywords :
image coding; image representation; mathematical morphology; prediction theory; rate distortion theory; transform coding; wavelet transforms; image representation; morphological prediction of significance; rate-distortion; wavelet based image coding; Algorithm design and analysis; Compaction; Frequency; Image coding; Image representation; Quantization; Rate-distortion; Streaming media; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.531420