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Proceedings Paper

Adaptive coding of images based on the visual activity level
Author(s): Farhad Keissarian; Mohammad K. Ibrahim; Mohammad Farhang Daemi
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Paper Abstract

In this paper, a DCT based coding technique for adaptive coding of images according to the level of visual activity is presented. Adaptation is based on adaptive quantization and adaptive bit selection. In the proposed system, we initially partition the image into a large number of sub-blocks of 4 X 4 pixels. A novel image analysis may then be performed prior to the coding in order to decide what is the most significant information to encode. Classification according to the activity level within the blocks is based on the local statistics, and is used for adaptive bit selection, whereas optimum quantifiers having Gaussian density are used to achieve adaptive quantization. Satisfactory performance is demonstrated in terms of direct comparison of the original and the reconstructed images.

Paper Details

Date Published: 21 September 1994
PDF: 10 pages
Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); doi: 10.1117/12.186543
Show Author Affiliations
Farhad Keissarian, Univ. of Nottingham (United Arab Emirates)
Mohammad K. Ibrahim, Univ. of Nottingham (United Kingdom)
Mohammad Farhang Daemi, Univ. of Nottingham (United Kingdom)

Published in SPIE Proceedings Vol. 2298:
Applications of Digital Image Processing XVII
Andrew G. Tescher, Editor(s)

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