Quantization Noise Reduction for DCT Coded Images(Multimedia Systems)

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概要

• 論文の詳細を見る

• By modelling the quantization error as additive white noise in the transform domain, Wiener filter is used to reduce quantization noise for DCT coded images in DCT domain. Instead of deriving the spectrum of the transform coefficient, a DPCM loop is used to whiten the quantized DCT coefficients. The DPCM loop predicts the mean for each coefficient. By subtracting the mean, the quantized DCT coefficient is converted into the sum of prediction error and quantization noise. After the DPCM loop, the prediction error can be assumed uncorrelated to make the design of the subsequent Wiener filter easy. The Wiener filter is applied to remove the quantization noise to restore the prediction error. The original coefficient is reconstructed by adding the DPCM predicted mean with the restored prediction error. To increase the prediction accuracy, the decimated DCT coefficients in each subband are interpolated from the over-lapped blocks.

• 一般社団法人電子情報通信学会の論文
• 2004-08-01

著者

• Kuo C‐c

  Department Of Communications Engineering National Chiao Tung University

• Kuo Ching-chih

  Department Of Communications Engineering National Chiao Tung University

• Chang Wen-thong

  Department Of Communications Engineering National Chiao Tung University

関連論文

• Quantization Noise Reduction for DCT Coded Images(Multimedia Systems)

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