Research on Adaptive Multi-scale Block Compression Simulation Method for Multimedia Data
During the compression of multimedia image data,we usually need to sacrifice some details and accu-racy of the image in order to reduce the size of the data,which can lead to the loss of some information.To improve the compression effect,taking multimedia images as an example,this article presented a blocked lossless compression algorithm for multimedia data.Firstly,we used the quadtree algorithm to perform block processing on the multimedia image.Then,we used the multi-scale wavelet transform algorithm combining the edge features with directional features to obtain the adaptive sampling rate of each sub-band image block in multimedia images.According to the a-daptive multi-scale block compression sensing method based on texture blocks and flat blocks,we completed the blocked lossless compression of multimedia image data.Experimental results show that the proposed algorithm has a better compression effect.It not only achieves effective data compression without losing image information but also has a shorter compression time.Therefore,this method has a better overall application effect.
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