A New Method of Image Compression Using Improved SPIHT and MFHWT

نویسندگان

  • Navjot Kaur
  • Preeti Singh
چکیده

In this paper a new method of image data compression for medical images has been proposed to achieve high PSNR (Peak Signal to Noise Ratio). Image compression using Set Partitioning In Hierarchical Trees (SPIHT) transform is being compared with the other well known wavelets like Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), Dual Tree Complex Wavelet Transform (DTCWT) and Embedded Zero-Tree Wavelet (EZW). The comparison is carried out in terms of coding efficiency, memory requirements, and image quality. This research paper presents an image compression algorithm using Modified Fast Haar Wavelet Transformation (MFHWT) and SPIHT. It is considered that Haar functions are simplest wavelets. KeywordsCompression ratio, ISPIHT, medical image, MFHWT, MSE, PSNR

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تاریخ انتشار 2012