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By John G. Webster (Editor)

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Each such pattern is called a basis, and each basis is associated with coefficient representing the contribution of that pattern in the block to be coded. There are altogether 64 basis functions to completely represent any block without error, and therefore the total number of values to be coded after the transform remains unchanged. In the inverse DCT transform, each basis block is multiplied by its coefficient and the resulting 64 8 × 8 amplitude arrays are summed, each pixel separately, to reconstruct the original block.

However, if an aggressive transfer rate is desired, then η must be made larger, causing reduced storage density. The opposite is true for the photopolymers where the media noise is relatively large, thus higher diffraction efficiencies are needed independent of νread /PR until a much larger value of νread /PR is reached. But utilization of the available n is not as effective, causing penalties in storage density. We will devote the next section to a more quantified discussion of this point. Trade-Off Between The Storage Density and The Transfer Rate The storage density D under dynamic-range-limited situation is given by, from Eq.

5: 1303–1311, 1966. 9. J. A. Rajchman Holographic optical memory: an optical read-write memory, Appl. , 9: 2269–2271, 1970. 10. E. G. , 33: 5–53, 1972. 11. B. Hill Some aspects of a large capacity holographic memory, Appl. , 11: 182–191, 1972. 12. G. R. Knight Holographic memories, Opt. , 14: 453–459, 1975. 13. C. Gu et al. Cross-talk-limited storage capacity of volume holographic memory, J. Opt. Soc. , A9: 1978–1983, 1992. 14. H. Kogelnik Coupled wave theory for thick hologram gratings, Bell Sys.

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