Research on Compression Optimization Method of Multimedia Network Image in Transmission

In the process of multimedia network image transmission for image compression processing #140;the current image processing algorithms only rely on the existing node energy for the compression and transmission#140;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.