Image processing based on information fusion & wavelets analysis

Wavelet analysis, the newest time-frequency analysis tool with its unique advantages, was widely used in engineering. However, in the practical application, compressing images contain huge data, which made it difficult and impossible to process the image by the ordinary method. In this paper, an image compression method is put forward based on information fusion and wavelet transformation. In this method the original image is decomposed by two-dimensional Mallat decomposition algorithm, then quantize the coefficient of the wavelet transform, Symbol-stream will be changed into bit-stream to achieve the purpose of data compression, and information fusion is processed to compute wavelet reconstruction, at last, we analyze land surveying image "soil" by using twodimensional wavelet and achieve good results. Image noise can be reduced effectively and image details can be preserved well.