Title :
Image coding for telecommunications
Author :
Sriram, Parthasarathy ; Marcellin, Michael W.
Author_Institution :
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
Abstract :
The application of transform and wavelet coding to encode monochrome images is investigated. The proposed image coders are based on entropy-constrained trellis coded quantization. Excellent peak-signal-to-noise ratios were obtained for encoding the monochrome version of the 512×512 Lenna image. Comparisons with other results from the literature reveal that the proposed image coders are quite competitive. The subjective quality of the encoded images is also excellent
Keywords :
data compression; encoding; image coding; wavelet transforms; Lenna image; entropy-constrained trellis coded quantization; image coding; monochrome images; peak-signal-to-noise ratios; telecommunications; transform coding; wavelet coding; Application software; Discrete cosine transforms; Discrete transforms; Discrete wavelet transforms; Encoding; Image coding; Image reconstruction; Iterative algorithms; Quantization; Rate-distortion;
Conference_Titel :
Computers and Communications, 1993., Twelfth Annual International Phoenix Conference on
Conference_Location :
Tempe, AZ
Print_ISBN :
0-7803-0922-7
DOI :
10.1109/PCCC.1993.344504
