TY - GEN
T1 - A gray image compression using a Hilbert scan
AU - Kamata, Seiichiro
AU - Niimi, Michiharu
AU - Kawaguchi, Eiji
PY - 1996/1/1
Y1 - 1996/1/1
N2 - Hilbert curve is one of the space-filling curves published by Peano. There are several applications using this curve such as image processing, computer hologram, etc. In this paper, we concentrate on a lossy compression technique for a gray image using the Hilbert curve. The merit of this curve is to pass through all points in a quadrant, and it always moves 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 in spite of the simple computation in comparison to JPEG, acceptable quality images can be obtained at bit-rates above 0.6 bit/pixel.
AB - Hilbert curve is one of the space-filling curves published by Peano. There are several applications using this curve such as image processing, computer hologram, etc. In this paper, we concentrate on a lossy compression technique for a gray image using the Hilbert curve. The merit of this curve is to pass through all points in a quadrant, and it always moves 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 in spite of the simple computation in comparison to JPEG, acceptable quality images can be obtained at bit-rates above 0.6 bit/pixel.
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U2 - 10.1109/ICPR.1996.547299
DO - 10.1109/ICPR.1996.547299
M3 - Conference contribution
AN - SCOPUS:34250882924
SN - 081867282X
SN - 9780818672828
T3 - Proceedings - International Conference on Pattern Recognition
SP - 905
EP - 909
BT - Track C
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Conference on Pattern Recognition, ICPR 1996
Y2 - 25 August 1996 through 29 August 1996
ER -