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Fahim-ul-Haq,Azra Khalid,Saad Umer Baig 한국멀티미디어학회 2010 한국멀티미디어학회 국제학술대회 Vol.2010 No.-
With growing demand of various imaging applications, storage requirements of digital imagery are increasing explosively. Efficient representation of image data, their storage and transmission through limited communication bandwidth is a crucial and active area of development today and calls for efficient storage and transmission requirements. Wavelet transform provides analysis details on different levels with much less space as compared to the original data, resulting in high quality image compression. Wavelet transformation separates images into scales through a feature known as multi-resolution analysis. The paper describes wavelet analysis using Daubeucies wavelet as the basis function for approximations. Here a novel multi-resolution analysis based on Daubeucies wavelet is investigated which results in greater compression at low bit-rates and high quality reconstruction