[Paper] Restoration of JPEG Compressed Image with Narrow Quantization Constraint Set without Parameter Optimization
Author:
Affiliation:
1. Graduate School of Engineering, Nagoya University
2. Graduate School of Engineering, University of Fukui
Publisher
Institute of Image Information and Television Engineers
Subject
Computer Graphics and Computer-Aided Design,Media Technology,Signal Processing
Link
https://www.jstage.jst.go.jp/article/mta/10/3/10_130/_pdf
Reference21 articles.
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2. 2) B. Ramamurthi and A. Gersho, “Nonlinear space-variant postprocessing of block coded images,” IEEE Trans. Acoust., Speech, Signal Process., vol. 34, no. 5, pp. 1258-1268, 1986.
3. 3) R. Rosenholts and A. Zakhor, “Iterative procedures for reduction of blocking effects in transform image coding,” IEEE Trans. Circuits Syst. Video Technol., vol. 2, no. 1, pp. 91-95, 1992.
4. 4) D. Youla, “Generalized image restoration by the method of alternating orthogonal projections,” IEEE Trans. Circuits Syst., vol. 25, no. 9, pp. 694-702, 1978.
5. 5) Y. Yang, N. P. Galatsanos, and A. K. Katsaggelos, “Regularized reconstruction to reduce blocking artifacts of block discrete cosine transform compressed images,” IEEE Trans. Circuits Syst. Video Technol., vol. 3, no. 6, pp. 421-432, 1993.
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