Research On The Lossless Compression Encoding And Encryption Method Of Image Sequences Based On Cloud Computing

This article mainly describes the features of rendering generated image sequences, which are:layered images, time-related images and space-related images.We focused on the bottleneck of the rendering, which is, huge images caused spending on the net I/O. Current video coding scheme can achieve more compression density,while it is difficult to guarantee absolutely lossless. Besides, the calculate procedure is complex. Image compression method ignore the redundant information of inter frames, which is also not appropriate.To make use of the inter frame redundancy, this paper presents a data block reordering scheme base on LZ77 compression method, Which Can achieve more compression without no extra expense. What’s more, based on the big correlation between adjacent image frames, a predictive coding model is applied to further reduce data redundancy. Image hash has the ability to finding similar pixel matrix quickly,which can be used to further improve the compression effect, in order to solve the time consuming problem when processing large-scale of image data, we presents a distributed encoding scheme based on the cloud computing infrastructure. In cording to keep safe,we provide a method to encrypt the compression data.