The Algorithm Of Wavelet Transform Implementated In Image Processing Based On MATLAB

Image processing using wavelet transform is a hot picture and signal areas with the rapid development of computer image processing technology, communications technology, electronic technology. The field is attentioned by the people more and more.Firstly, this paper introduces the research background and research contents and structure of the image processing algorithm, and then introduces the basic theory of wavelet analysis, and explains the origin, definition and characteristics of wavelet transform, and the continuous wavelet transform, discrete wavelet transform. At the same time, the application of the wavelet transform in the image is described. And the image of the wavelet transform has the characteristics of the spectrum, the direction selection, the multi-resolution analysis and the natural pyramid data structure. The basic methods of image compression, denoising, fusion, decomposition Basing on the characteristics of wavelet transform are discussed in MATLAB language environment and so on.The innovation of the system has the following three points:(1) The innovation of thinking angle of view is combining theory with practice.The wavelet theory and experimental practice are combined.(2) Innovation of research content: the wavelet transform of the image processing technology combined with the actual case overall is presented in this paper.The applicable field of the different algorithms is proved by experiment results.(3) The innovation of research:according to the practice demand, the combination with research needs is to access to relevant information and to study related literature knowledge.