대한전자공학회논문지 (Journal of the Korean Institute of Telematics and Electronics)
- 제26권10호
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- Pages.1561-1570
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- 1989
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- 1016-135X(pISSN)
유한상태 분류 벡터 양자기를 이용한 라플라시안 피라미드 부호화 기법
Lplacian Pyramid Coding Technique using a Finite State-Classified Vector Quantizer
초록
In this paper, we propose an image coding scheme which combines the Laplacian pyramid structure and a hierarchical finite state classified vector quantizer in the DCT domain, namely FSDCT-CTQ. First, an optimal bit allocation problem for fixed rates DCT-CVQ on the Laplacian pyramid structure is described. In an asymptotic case, with an optimal bit allocation, a coding gain over scalar quantization of each Laplacian plane is derived. Second, it is experimentallhy shown that the Laplacian pyramid structure provides a considerable codng gain in the sense of total MMSE (minimum mean squared error). Finally, we propose an FS-DCT-CVQ which exploits the hierarchicla correlation between the Laplacian planes. Simulation results on real images show that the proposed coding scheme can reconstruct an image with 30.33 dB at 0.192 bpp, 32.45 dB at 0.385 bpp, respectively.
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