Noise reduction in DCT-coded images by estimating optimal quantized values

Masayuki Tanimoto; Kiyohito Narita; Toshiaki Fujii; Tadahiko Kimoto

doi:10.1117/12.251273

16 September 1996 Noise reduction in DCT-coded images by estimating optimal quantized values

Masayuki Tanimoto, Kiyohito Narita, Toshiaki Fujii, Tadahiko Kimoto

Proceedings Volume 2952, Digital Compression Technologies and Systems for Video Communications; (1996) https://doi.org/10.1117/12.251273
Event: Advanced Imaging and Network Technologies, 1996, Berlin, Germany

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.

Citation Download Citation

Masayuki Tanimoto, Kiyohito Narita, Toshiaki Fujii, and Tadahiko Kimoto "Noise reduction in DCT-coded images by estimating optimal quantized values", Proc. SPIE 2952, Digital Compression Technologies and Systems for Video Communications, (16 September 1996); https://doi.org/10.1117/12.251273

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KEYWORDS

Signal to noise ratio

Quantization

Image analysis

Denoising

Cameras

Linear filtering

Visualization

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