In the process of multimedia network image transmission for image compression processing
，the current image processing algorithms only rely on the existing node energy for the compression
and transmission，without considering the digestive problems that image data will transmit itself,
leading to image resources selection restriction and poor image compression effect. The multimedia
network image transfer compression method based on wavelet distributed algorithm is raised. Each
spectrum of image is transformed into two-dimensional discrete 5/3 wavelet transform, four wavelet
subs of wavelet transform of different levels in each spectrum are defined as four tensor, non-negative
factorization is processed for all wavelets with tensor, which eliminates residual redundancy of image
spectral and image space completely. On the basis of this, an energy optimal selection principle is
introduced to select the best multimedia network transmission nodes. The distributed processing
algorithm is fused to optimize compression process. Simulation experiments show that the compression
method of multimedia network image transmission based on wavelet distributed processing algorithms
has better performance.
Keywords: Image compression, multimedia network image, wavelet transform.
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