Optimization of Compression Transmission Method for Multimedia Network Image Data

The compression process of traditional image data compression method is complex, and has disadvantages like high computational complexity and low compression ratio. An image data compression transmission method based on singular value decomposition and wavelet transform is proposed and applied to multimedia network, the shortcomings of traditional method is analyzed, the singular value decomposition is applied to multimedia network image, and the energy ratio threshold is set, and relatively larger singular values are selected by self-adaption to complete the first stage compression of multimedia network image data. The threshold quantization method is utilized to process the high frequency coefficients under various resolution, the high frequency coefficients whose absolute value does not exceed the threshold is set to zero, so as to complete the image re-compression. The simulation results show that the proposed method can effectively enhance the image compression effect and reduce the complexity of the algorithm.