Compression of two-dimensional data
IEEE Transactions on Information Theory
An address generator of a pseudo-Hilbert scan in a rectangle region
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
A Gray Image Compression Using a Hilbert Scan
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
IEEE Transactions on Image Processing
Topographic map visualization from adaptively compressed textures
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
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Hilbert curve is one of space-filling curves published by G. Peano. There are several applications using this curve such as image processing, computer graphics, etc. In this paper, we concentrate on a compression technique for color images using the Hilbert curve. The merit of this curve is to pass through all points in a quadrant, and always to move to the neighbor quadrant. Our method is based on this neighborhood property by a simple segmentation of the scanned one dimensional data using a zero order interpolation. From our experiments, we have confirmed that inspite of the simple computation in comparison to JPEG, acceptable quality images can be obtained at the same bit-rates.