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Proceedings Paper

Noise reduction in DCT-coded images by estimating optimal quantized values
Author(s): Masayuki Tanimoto; Kiyohito Narita; Toshiaki Fujii; Tadahiko Kimoto
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Paper Abstract

This paper proposes a new scheme to reduce the quantization noise in DCT coded images by estimating optimal quantized values. In the proposed scheme, the quantized value of DCT coefficients is shifted from the middle of the quantization step to the mean value of the amplitude distribution of DCT coefficients in the quantization step. The values of the shift minimizing the quantization noise power are obtained experimentally. A simple scheme approximating these values is derived so that the modification factors of the quantized values can be estimated at the decoder. About 0.5 dB improvement of SNR is achieved experimentally by the proposed scheme. By smoothing the boundaries of DCT blocks in the decoded images further, 1.0 dB improvement of SNR is achieved and visually better images are obtained.

Paper Details

Date Published: 16 September 1996
PDF: 10 pages
Proc. SPIE 2952, Digital Compression Technologies and Systems for Video Communications, (16 September 1996); doi: 10.1117/12.251273
Show Author Affiliations
Masayuki Tanimoto, Nagoya Univ. (Japan)
Kiyohito Narita, Nagoya Univ. (Japan)
Toshiaki Fujii, Nagoya Univ. (Japan)
Tadahiko Kimoto, Nagoya Univ. (Japan)


Published in SPIE Proceedings Vol. 2952:
Digital Compression Technologies and Systems for Video Communications
Naohisa Ohta, Editor(s)

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