Abstract
Based on Shannon information and random field theories, a low bound estimation is developed in this paper for the transmitting bit rate in image compression coding. Taking the correlation coefficients between the adjacent pixels as parameters, a relation between the signal-to-noise ratio and the estimated low bound of image transmitting bit rate is obtained. As examples, several experiment results are utilized to verify the rationality of the presented results by applying some conventional compression coding methods to two standard pictures.
On leave as a young exchange scholar from Zhejiang University, Zhejiang, CHINA
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References
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© 1995 Springer-Verlag Berlin Heidelberg
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Li, H., Yao, Q., Choi, JH., Kwak, HS. (1995). An estimation of low bound for two-dimensional image compression coding. In: Chin, R.T., Ip, H.H.S., Naiman, A.C., Pong, TC. (eds) Image Analysis Applications and Computer Graphics. ICSC 1995. Lecture Notes in Computer Science, vol 1024. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60697-1_142
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DOI: https://doi.org/10.1007/3-540-60697-1_142
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