Multiresolution segmentation-based image coding with hierarchical data structures

Authors:
H. R. Rabiee;R. L. Kashyap;S. R. Safavian
Affiliations:
Dept. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA;-;-
Venue:
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04
Year:
1996

Citing 0
Cited 2

Segmentation based coding of human face images for retrieval

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Hierarchical segmentation-based image coding using hybrid quad-binary trees

IEEE Transactions on Image Processing

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Abstract

This paper presents two multiresolution segmentation-based algorithms for low bit rate image compression using hierarchical data structures. The segmentation is achieved with quadtree and binary space partitioning tree hierarchical data structures and the encoding is performed by using the projection pursuit (matching pursuit) with a finite dictionary of spline functions with various degrees of smoothness. Comparison with JPEG at rates below 0.5 bit/pixel shows superior performance both in terms of peak signal-to-noise ratio (PSNR) and subjective image quality.