Abstract
Wavelet-domain hidden Markov Tree (HMT) was recently pro-posed and often applied to image processing. In this paper, HMT is app-lied to denoise the flame image of boiler and has gotten a good result. Having compared with other denoise methods such as wavelet, Wiener filter and median filter. HMT can get better denoise result and the content of flame image edges can be kept better. With the development of HMT research, it will be extended to the fields of signal processing, detection of edge and classification.
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References
Chunguang, J., Peng, W., Shiyong, L.: Intelligent Control Method for Industrial Chain Boiler Based Information Fusion. Chinese Journal of Scientific Instrument 24(2), 131–134
Romberg., J.K., Choi, H., Baraniuk, R.G.: Bayesian tree-structured image modeling using wavelet domain hidden markov models. Submitted to IEEE Transactions on Image Processing, Maren (2000)
Tianren, Y.: Digital Speech Processing, pp. 312–355. HuaZhong University of Science and Technology Press (1992) (in Chinese)
Goncalve’s, J.-B.D.P.: Statistical inference for hidden Markov tree models and Application to wavelet trees. Rapport de recherché
Rochat, M.: Noise reduction in holographic microscopy images. Semester project (summer 2001), http://bigwww.epf1.ch/teaching/students/rochat/
Gagnon, L., Jouan, A.: Speck le filtering of SAR images-A comparative study between complex-wavelet based and standard filters. In: SPIE Proc., Washington, USA, vol. 3169, pp. 80–91 (1997)
Sattar, F., Floreby, L., Salomonsson, G., et al.: Image enhancement based on a nonlinear multiscale method. IEEE Transactions on Image Processing 6(1), 888–895 (1997)
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Ji, C., Zhang, R., Wen, S., Li, S. (2005). Flame Image of Pint-Sized Power Plant’s Boiler Denoising Using Wavelet-Domain HMT Models. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3645. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538356_94
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DOI: https://doi.org/10.1007/11538356_94
Publisher Name: Springer, Berlin, Heidelberg
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