Title :
Image coding using adaptive recursive interpolative DPCM
Author :
Gifford, Eric A. ; Hunt, Bobby R. ; Marcellin, Michael W.
Author_Institution :
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
fDate :
8/1/1995 12:00:00 AM
Abstract :
A predictive image coder having minimal decoder complexity is presented. The image coder utilizes recursive interpolative DPCM in conjunction with adaptive classification, entropy-constrained trellis coded quantization, and optimal rate allocation to obtain signal-to-noise ratios (SNRs) in the range of those provided by the most advanced transform coders
Keywords :
adaptive signal processing; decoding; differential pulse code modulation; entropy codes; image classification; image coding; image representation; interpolation; prediction theory; quantisation (signal); trellis codes; SNR; adaptive classification; adaptive recursive interpolative DPCM; entropy-constrained trellis coded quantization; image coding; image representation; minimal decoder complexity; optimal rate allocation; predictive image coder; signal-to-noise ratios; transform coders; Decoding; Decorrelation; Discrete cosine transforms; Image coding; Image reconstruction; Pulse modulation; Quantization; Signal processing algorithms; Signal resolution; Wavelet transforms;
Journal_Title :
Image Processing, IEEE Transactions on
