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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| Published in | IEEE transactions on image processing Vol. 1; no. 1; pp. 31 - 48 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
United States
IEEE
01.01.1992
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| Subjects | |
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| Abstract | 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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| AbstractList | 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.< > 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.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. 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 |
| Author | Kim, Y.H. Modestino, J.W. |
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| Cites_doi | 10.1109/78.120806 10.1287/opre.11.3.399 10.1109/ICASSP.1988.196697 10.1109/18.57206 10.1109/TASSP.1986.1164962 10.1109/TCOM.1987.1096830 10.1109/31.1723 10.1109/ICASSP.1977.1170341 10.1109/ICASSP.1976.1170079 10.1016/0165-1684(84)90012-4 10.1109/ICASSP.1987.1169920 10.1109/ICASSP.1988.196694 10.1109/ICASSP.1987.1169521 10.1109/26.2791 10.1109/18.42217 10.1109/29.90373 10.1109/TIT.1979.1056067 10.1109/29.17498 10.1109/TIT.1984.1056920 10.1109/TIT.1982.1056490 10.1109/ICASSP.1980.1171025 10.1109/TIT.1981.1056356 10.1109/ICASSP.1988.196698 |
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| References | ref12 ref15 ref14 ref30 gharavi (ref6) 1988; 35 ref10 ref2 ref1 ref17 ref19 kim (ref16) 1990 ref18 harrison (ref25) 1988 tanabe (ref11) 1989 jayant (ref21) 1984 crochiere (ref22) 1983 ref24 ref23 ref26 westerink (ref20) 1989 ref27 ref29 ref8 ref7 shoham (ref13) 1988; 36 ref9 ref4 naveen (ref28) 1989 ref3 ref5 |
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| SubjectTerms | Arithmetic Band pass filters Discrete cosine transforms Entropy coding Frequency Image coding Image reconstruction Pixel Pulse modulation Vector quantization |
| Title | Adaptive entropy coded subband coding of images |
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