SPIHT Compression Technique for DICOM Images using Wavelets

  • B. Janardhana Rao Department of ECE, CVR College of Engineering College, Hyderabad, India
  • O. Venkata Krishna Department of EIE, CVR College of Engineering Hyderabad, India.

Abstract

The image viewers do not consider specific requirements and scalability for the efficient encoding and decoding for easy transmission of images in many applications. This paper presents highly scalable Set Partitioning in Hierarchical Trees (SPIHT) algorithm for Digital Imaging and Communications in Medicine(DICOM) images. This algorithm is implemented using scalable line based Discrete Wavelet Transform(DWT) encoder and decoder. The performance metrics Mean Square Error
(MSE) and Peak Signal to Noise Ratio(PSNR) are considered for achieving the high quality and scalable lossless image compression. This algorithm is also compatible with many heterogeneous networks.

Published
2015-06-30
Issue
Vol 8 (2015): CVR Journal of Science and Technology
Section
Articles
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