Inverse quantization of DCT coefficients using Laplacian pdf 


Vol. 29,  No. 6, pp. 857-864, Jun.  2004


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  Abstract

Many image compression standards such as JPEG, MPEG or H.263 are based on the discrete cosine transform (OCT) and quantization method. Quantization error is the major source of image quality degradation. The current dequantization method assumes the uniform distribution of the OCT coefficients. Therefore the dequantization value is the center of each quantization interval. However OCT coefficients are regarded to follow Laplacian probability density function (pdf). The center value of each interval is not optimal in reducing squared error. We use mean of the quantization intrval assuming Laplacian pdf, and show the effect of correction on image quality
Also, we compare exi 씨 ing quantization error to corrected quantization error in closed form. The effect of PSNR improvements due to the compensation to the real image is in the range of 0.2 - 0.4 dB. The maximum correction value is 1.66 dB.

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  Cite this article

[IEEE Style]

S. Kang and B. Lee, "Inverse quantization of DCT coefficients using Laplacian pdf," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 6, pp. 857-864, 2004. DOI: .

[ACM Style]

So-yeon Kang and Byung-uk Lee. 2004. Inverse quantization of DCT coefficients using Laplacian pdf. The Journal of Korean Institute of Communications and Information Sciences, 29, 6, (2004), 857-864. DOI: .

[KICS Style]

So-yeon Kang and Byung-uk Lee, "Inverse quantization of DCT coefficients using Laplacian pdf," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 6, pp. 857-864, 6. 2004.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880