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Proceedings Paper

Image coding using wavelet transform and human visual system
Author(s): Ilkyu Eom; Hyung Soon Kim; Kyung Sik Son; Yoon-Soo Kim; Jae Ho Kim
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Paper Abstract

In this paper, we propose a new image compression technique using wavelet transform and human visually estimated noise sensitivities. These consist of frequency, background brightness, and edge height sensitivities. The background brightness sensitivity for each quantizing point is modeled by a quadratic function. The edge sensitivity for each quantizing point is modeled by a non-linear function. The minimum value becomes background brightness sensitivity and edge height sensitivity is multiplied by the frequency sensitivity for determining the quantization step size. Quantization step sizes are calculated by using coefficients of lowest frequency band which are coded losslessly. Therefore, in the proposed method, information to specify quantization step size for higher frequency band, is not needed. The coefficients of high frequency bands are arithmetically coded in horizontal and vertical directions depending on the edge direction. Compared with previous human visual systems based image compression methods, the proposed method shows improved image quality for the same compression ratio with less computational cost.

Paper Details

Date Published: 3 March 1995
PDF: 11 pages
Proc. SPIE 2418, Still-Image Compression, (3 March 1995); doi: 10.1117/12.204128
Show Author Affiliations
Ilkyu Eom, Pusan National Univ. (South Korea)
Hyung Soon Kim, Pusan National Univ. (South Korea)
Kyung Sik Son, Pusan National Univ. (South Korea)
Yoon-Soo Kim, Samsung Electronics Co. (South Korea)
Jae Ho Kim, Pusan National Univ. (South Korea)


Published in SPIE Proceedings Vol. 2418:
Still-Image Compression
Majid Rabbani; Edward J. Delp; Sarah A. Rajala, Editor(s)

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