Modeling Quantization Error using Laplacian Probability Density function

Laplacian 분포 함수를 이용한 양자화 잡음 모델링

  • 최지은 (이화여자대학교 정보통신학과) ;
  • 이병욱 (이화여자대학교 정보통신학과)
  • Published : 2001.11.01


Image and video compression requires quantization error model of DCT coefficients for post processing, restoration or transcoding. Once DCT coefficients are quantized, it is impossible to recover the original distribution. We assume that the original probability density function (pdf) is the Laplacian function. We calculate the variance of the quantized variable, and estimate the variance of the DCT coefficients. We can confirm that the proposed method enhances the accuracy of the quantization error estimation.