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Proceedings Paper

Bounded-Error Coding Of Cosine Transformed Images
Author(s): R. A. Gonsalves; A. Shea
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Paper Abstract

Cosine transform coding captures the major features of an image at bit rates as low as 0.5 bits per pixel (BPP). However, because the coding is done in transform space, spatial edge information is lost and the images appear soft even at 3BPP. Spatial techniques such as DPCM with entropy encoding preserve edges but fail, ungracefully, at about 2BPP. In this paper we combine the two. The reconstruction from transform coding is compared with the original and the spatial error signal is quantized and encoded. The results are compared with conventional DPCM and cosine transform encoding.

Paper Details

Date Published: 28 December 1979
PDF: 8 pages
Proc. SPIE 0207, Applications of Digital Image Processing III, (28 December 1979); doi: 10.1117/12.958257
Show Author Affiliations
R. A. Gonsalves, EIKONIX Corporation (United States)
A. Shea, EIKONIX Corporation (United States)


Published in SPIE Proceedings Vol. 0207:
Applications of Digital Image Processing III
Andrew G. Tescher, Editor(s)

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