
For FullText PDF, please login, if you are a member of IEICE,
or go to Pay Per View on menu list, if you are a nonmember of IEICE.

A Generalized Recursive Block Coding for Image Data Compression
Haruko YOSHIDA Masahiro NAKAGAWA
Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Vol.E81A
No.6
pp.12841300 Publication Date: 1998/06/25
Online ISSN:
DOI:
Print ISSN: 09168508 Type of Manuscript: PAPER Category: Image Theory Keyword: recursive, block, coding,
Full Text: PDF(1.3MB)>>
Summary:
In this paper a generalized recursive block coding (GRBC) scheme is put forward with a novel noncausal predictor free from the separable assumption on the original random field and then applied to an image data compression so as to compare with the conventional recursive block coding (RBC). In the presently proposed predictor to derive the residual random fields, the constraint on the separability of the original image is completely removed in general in contrast with the conventional 2dimensional RBC based on noncausal predictive method which eventually leads to the onedimensional RBC strategy. In addition the resultant characteristic KL functions for the residual errors in GRBC are confirmed to be substantially reduced to the same orthogonal discrete sine functions (DSFs) as RBC, whereas the corresponding eigen values are elucidated to be not expressed in the direct product form but in a somewhat generalized form. Also a novel bit allocation method for the transformed coefficients of the residuals is argued in connection with the eigen value problem for the residual random fields. Finally, introducing an adaptive zonal coding method, the presently proposed scheme is applied to the block codings to clarify a certain advantage beyond the conventional recursive block transform coding.

