Image analysis method based on weighted probability model

 Image analysis and compression We usually use Fourier transform, DCT transform and wavelet transform. The image transformation method based on weighted probability model is the new method described in this paper. We reasoned iterative formula of binary sequence-weighted probability model transformation versus inverse transformation, The encoding method of binary sequence transformation and inverse transformation are constructed. In the image transformation and inverse transformation experiment, yielded large number of duplicate values in the transformed data, which is suitable for the construction of a new image compression method. The inverse transform can reconstruct the image effectively, and has the obvious image edge annotation effect. This method can be used in image compression, image edge detection, image sharpening and intelligent recognition.