A Perceptual Image Coding method of High Compression Rate
In the framework of the image compression by
Wavelet Transforms, we propose a perceptual method by
incorporating Human Visual System (HVS) characteristics in the
quantization stage. Indeed, human eyes haven-t an equal sensitivity
across the frequency bandwidth. Therefore, the clarity of the
reconstructed images can be improved by weighting the quantization
according to the Contrast Sensitivity Function (CSF). The visual
artifact at low bit rate is minimized. To evaluate our method, we use
the Peak Signal to Noise Ratio (PSNR) and a new evaluating criteria
witch takes into account visual criteria. The experimental results
illustrate that our technique shows improvement on image quality at
the same compression ratio.
[1] W. Pennebaker, JPEG still image data compression standard. New
York: Van Nostrand Reihold, 1993.
[2] G. K. Wallace, "Overview of the JPEG (ISO/CCITT) still image
compression standard," in Proc. SPIE/SPSE Symposium on Electronic
Imaging Science & Technologies, Feb. 1990.
[3] N. Ahmed, T. Natarajan, and K. R. Rao, "Discrete cosine transform,"
IEEE Trans. on Computers, vol. C23, no. 1, pp. 90-93, Jan. 1974.
[4] W. K. Cham, "Development of integer cosine transforms by the
principle of dyadic symmetry," IEEE Proceedings-I, vol. 136, no. 4, pp.
276-282, Aug. 1989.
[5] S. C. Diego, E. Touradj, A. Joel, L. Mathias, and C. Charilaos, "JPEG
2000 still image coding versus other standards," in Proc. of SPIE,
vol..4115, Applications of digital image processing XXIII, Ed. Andrew
G. Tesher, Dec. 2000, pp. 446-454.
[6] J. Rissanen, and G. Langdon, "Arithmetic coding," IBM Journal of
research and development, vol. 23, no. 2, pp. 35-43, Mar. 1979.
[7] D. A. Huffman, "A method for the construction of minimum redundancy
codes," Proc. of the IEEE, vol. 40, no. 9, pp. 1089-1101, Sept. 1952.
[8] A. Lempel, and J. Ziv, "Compression of individual sequences via
Variable-Rate-Coding," IEEE Trans. on Information Theory, vol. IT-24,
pp. 530-536, 1978.
[9] J. Mannos, and D. Sakrison, "The effects of a visual fidelity criterion on
the encoding of images," IEEE Trans. on Information Theory, vol. IT-
20, pp. 525-536, 1974.
[10] A. Watanabe, T. Mori, S. Nagata, and K. Hiwatashi, "Spatial sine-wave
responses of the human visual system," Vision Research, vol. 8, no. 9,
pp. 1245-1263, Sep. 1968.
[11] F. W. Cambell, and J. G. Robson, "Application of Fourier analysis to the
visibility of gratings," Journal of physiology, of gratings, vol. 197, pp.
551-566, 1966.
[12] K. Ngan, K. Rao, and H. Singh, "Cosine transform coding incorporating
human visual system model," in Proc. SPIE fiber'86, 1986.
[13] A. B. Watson, G. Y. Yang, J. A. Solomon, and J. Villasenor, "Visibility
of wavelet quantization noise," Ames Research Center, July 1996.
[1] W. Pennebaker, JPEG still image data compression standard. New
York: Van Nostrand Reihold, 1993.
[2] G. K. Wallace, "Overview of the JPEG (ISO/CCITT) still image
compression standard," in Proc. SPIE/SPSE Symposium on Electronic
Imaging Science & Technologies, Feb. 1990.
[3] N. Ahmed, T. Natarajan, and K. R. Rao, "Discrete cosine transform,"
IEEE Trans. on Computers, vol. C23, no. 1, pp. 90-93, Jan. 1974.
[4] W. K. Cham, "Development of integer cosine transforms by the
principle of dyadic symmetry," IEEE Proceedings-I, vol. 136, no. 4, pp.
276-282, Aug. 1989.
[5] S. C. Diego, E. Touradj, A. Joel, L. Mathias, and C. Charilaos, "JPEG
2000 still image coding versus other standards," in Proc. of SPIE,
vol..4115, Applications of digital image processing XXIII, Ed. Andrew
G. Tesher, Dec. 2000, pp. 446-454.
[6] J. Rissanen, and G. Langdon, "Arithmetic coding," IBM Journal of
research and development, vol. 23, no. 2, pp. 35-43, Mar. 1979.
[7] D. A. Huffman, "A method for the construction of minimum redundancy
codes," Proc. of the IEEE, vol. 40, no. 9, pp. 1089-1101, Sept. 1952.
[8] A. Lempel, and J. Ziv, "Compression of individual sequences via
Variable-Rate-Coding," IEEE Trans. on Information Theory, vol. IT-24,
pp. 530-536, 1978.
[9] J. Mannos, and D. Sakrison, "The effects of a visual fidelity criterion on
the encoding of images," IEEE Trans. on Information Theory, vol. IT-
20, pp. 525-536, 1974.
[10] A. Watanabe, T. Mori, S. Nagata, and K. Hiwatashi, "Spatial sine-wave
responses of the human visual system," Vision Research, vol. 8, no. 9,
pp. 1245-1263, Sep. 1968.
[11] F. W. Cambell, and J. G. Robson, "Application of Fourier analysis to the
visibility of gratings," Journal of physiology, of gratings, vol. 197, pp.
551-566, 1966.
[12] K. Ngan, K. Rao, and H. Singh, "Cosine transform coding incorporating
human visual system model," in Proc. SPIE fiber'86, 1986.
[13] A. B. Watson, G. Y. Yang, J. A. Solomon, and J. Villasenor, "Visibility
of wavelet quantization noise," Ames Research Center, July 1996.
@article{"International Journal of Information, Control and Computer Sciences:63645", author = "Fahmi Kammoun and Mohamed Salim Bouhlel", title = "A Perceptual Image Coding method of High Compression Rate", abstract = "In the framework of the image compression by
Wavelet Transforms, we propose a perceptual method by
incorporating Human Visual System (HVS) characteristics in the
quantization stage. Indeed, human eyes haven-t an equal sensitivity
across the frequency bandwidth. Therefore, the clarity of the
reconstructed images can be improved by weighting the quantization
according to the Contrast Sensitivity Function (CSF). The visual
artifact at low bit rate is minimized. To evaluate our method, we use
the Peak Signal to Noise Ratio (PSNR) and a new evaluating criteria
witch takes into account visual criteria. The experimental results
illustrate that our technique shows improvement on image quality at
the same compression ratio.", keywords = "Contrast Sensitivity Function, Human Visual
System, Image compression, Wavelet transforms.", volume = "1", number = "9", pages = "2860-5", }