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Proceedings Paper

Transform coding of digital images using variable block-size DCT with adaptive thresholding and quantization
Author(s): Cheng-Tie Chen
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Paper Abstract

Discrete cosine transform (DCT) coding has been emerging as a key element for image data compression. Conventional DCT coding algorithms which treat all the image areas indiscriminately unfortunately give nonuniform image quality for various image contents. This motivates work on DCT schemes adaptive to the image contents so that a better tradeoff between bit rate and image quality can be achieved. In this paper a DCT algorithm with adaptive thresholding and quantization is combined with variable block size segmentation to further improve the coding performance. A new segmentation criterion is proposed. Some simulation results are given to illustrate the superiority of this adaptive DCT algorithm with segmented blocks. It is also shown that this algorithm poses itself as a promising compression method to deal with the composite images consisting of text/graphics and natural scenes.

Paper Details

Date Published: 1 November 1990
PDF: 12 pages
Proc. SPIE 1349, Applications of Digital Image Processing XIII, (1 November 1990); doi: 10.1117/12.23515
Show Author Affiliations
Cheng-Tie Chen, Bell Communications Research (United States)


Published in SPIE Proceedings Vol. 1349:
Applications of Digital Image Processing XIII
Andrew G. Tescher, Editor(s)

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