Abstract
To reduce the storage space of image data and to recover the high quality image of an interested region,a method of segmented compression reconfiguration based on the interested region was proposed.Firstly,the Region of Interest(ROI)was extracted from the whole image according to some regularity of surveillance targets.The original image was then divided into ROI and Region of Background(BG)by using the segmentation algorithm.Finally,with the compression method based on wavelet transform,the ROI and BG region were compressed with different compression ratios by using the embedded coding of Set Partitioning in Hierarchical Trees(SPIHT).Simulation experiment shows that the method gives higher compression efficiency and the recovered image is more suitable for human eye under the same condition.Compared to other methods,this method increases the Peak Signal to Noise Ratio(PSNR)of image and solves the contradiction of the high compression ratio to high quality.
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