Abstract
The purpose of this paper is to analyze a bound on signal-to-noise ratio SNR in subband coding of Gaussian image process. For the proposed method optimization distortion-rate function as a fidelity measure is applied. The theoretical 1imit of a bound on SNR is obtained to be about 52 dB for a given Gaussian image power spectral density. The proposed method requires low computer cost because of its complexity compared to some other subband coding schemes.
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References
J.W.Woods and S.D.O'Neil, “Subband coding of images”, IEEE Trans.Acoust.Speech, Signal Processing, vol.ASSP-34, pp 1278–1288, Oct. 1986
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Z.Bojković: “Some Results in Image Subband Coding”, presented at The University of Texas at Arlington, Department of Electrical Engineering Seminar, April 1993
N.S.Jayant and P.Noll, Digital Coding of Waveforms, Englewood Cliffs, NJ: Prentice-Hall, 1984
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© 1993 Springer-Verlag Berlin Heidelberg
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Bojković, Z., Milovanović, D., Samčović, A. (1993). On a bound on signal-to-noise ratio in subband coding of Gaussian image process. In: Chetverikov, D., Kropatsch, W.G. (eds) Computer Analysis of Images and Patterns. CAIP 1993. Lecture Notes in Computer Science, vol 719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57233-3_14
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DOI: https://doi.org/10.1007/3-540-57233-3_14
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