Laplacian pyramid coding of prediction error images

Christoph Stiller; Dirk Lappe

doi:10.1117/12.50291

1 November 1991 Laplacian pyramid coding of prediction error images

Christoph Stiller, Dirk Lappe

Proceedings Volume 1605, Visual Communications and Image Processing '91: Visual Communication; (1991) https://doi.org/10.1117/12.50291
Event: Visual Communications, '91, 1991, Boston, MA, United States

Abstract

Pyramid image coding is an important class of encoding for progressive transmission. Image data is represented in a hierarchical structure and is transmitted in the order of decreasing significance. This property can be exploited for image sequence coding. Pyramid encoding allows to adapt to the statistics of prediction error images and to the available residual data rate. In this paper a Laplacian image pyramide is employed for coding the prediction error image of a hybrid image sequence coder. A tree growing algorithm for bit assignment within the pyramid is introduced for maximization of a quality criterion in the overall reconstructed image. Experiments show reasonable image quality even for low bit rates as 8 kbit/s.

Citation Download Citation

Christoph Stiller and Dirk Lappe "Laplacian pyramid coding of prediction error images", Proc. SPIE 1605, Visual Communications and Image Processing '91: Visual Communication, (1 November 1991); https://doi.org/10.1117/12.50291

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