Adaptive entropy coded subband coding of images

The authors describe a design approach, called 2-D entropy-constrained subband coding (ECSBC), based upon recently developed 2-D entropy-constrained vector quantization (ECVQ) schemes. The output indexes of the embedded quantizers are further compressed by use of noiseless entropy coding schemes, su...

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Veröffentlicht in:IEEE transactions on image processing Jg. 1; H. 1; S. 31 - 48
Hauptverfasser: Kim, Y.H., Modestino, J.W.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States IEEE 01.01.1992
Schlagworte:
Arithmetic
Band pass filters
Discrete cosine transforms
Entropy coding
Frequency
Image coding
Image reconstruction
Pixel
Pulse modulation
Vector quantization
ISSN:1057-7149
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Zusammenfassung:The authors describe a design approach, called 2-D entropy-constrained subband coding (ECSBC), based upon recently developed 2-D entropy-constrained vector quantization (ECVQ) schemes. The output indexes of the embedded quantizers are further compressed by use of noiseless entropy coding schemes, such as Huffman or arithmetic codes, resulting in variable-rate outputs. Depending upon the specific configurations of the ECVQ and the ECPVQ over the subbands, many different types of SBC schemes can be derived within the generic 2-D ECSBC framework. Among these, the authors concentrate on three representative types of 2-D ECSBC schemes and provide relative performance evaluations. They also describe an adaptive buffer instrumented version of 2-D ECSBC, called 2-D ECSBC/AEC, for use with fixed-rate channels which completely eliminates buffer overflow/underflow problems. This adaptive scheme achieves performance quite close to the corresponding ideal 2-D ECSBC system.< >
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ISSN:1057-7149
DOI:10.1109/83.128029