Open AccessMedical Image Compression using Hybrid Technique of Wavelet Transformation and Seed Selective Predictive Method
Author(s) -
Ghadah Al-Khafaji,
Noor I. Ghanim
Publication year - 2017
Publication title -
international journal of engineering research and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2454-6135
DOI - 10.7324/ijerat.2017.3110
Subject(s) - lossless compression , lossy compression , thresholding , computer science , wavelet , transformation (genetics) , artificial intelligence , wavelet transform , image compression , predictive coding , lifting scheme , pattern recognition (psychology) , data compression , coding (social sciences) , algorithm , wavelet packet decomposition , computer vision , image (mathematics) , mathematics , image processing , statistics , biochemistry , gene , chemistry
In this paper, a a hybrid coding system of lossless and lossy base is introduced for compressing medical images, where the slected seed predictive coding of approximation subband, and the detail subbands of hierarical scheme of wavelet transform exploited, respectively. The test results indicate that the suggested method can lead to promising performance using various thresholding values and extended schem.
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