Adaptive coding of images based on the visual activity level

Farhad Keissarian; Mohammad K. Ibrahim; Mohammad Farhang Daemi

doi:10.1117/12.186543

21 September 1994 Adaptive coding of images based on the visual activity level

Farhad Keissarian, Mohammad K. Ibrahim, Mohammad Farhang Daemi

Proceedings Volume 2298, Applications of Digital Image Processing XVII; (1994) https://doi.org/10.1117/12.186543
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

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.

Citation Download Citation

Farhad Keissarian, Mohammad K. Ibrahim, and Mohammad Farhang Daemi "Adaptive coding of images based on the visual activity level", Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); https://doi.org/10.1117/12.186543

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