Abstract
Discrete wavelet transform (DWT) has shown great performance in digital image compression and denoising applications. It has been the transformation used for source encoding in JPEG2000 still image compression standard and FBI wavelet scalar quantization. This paper has adopted the lifting DWT which is the most computation-efficient scheme of wavelet analysis and outlines the multi-resolution features of the wavelet transform. Details of the lifting wavelet transform are analyzed to propose a high-speed, less-area and power-efficient digital image compression scheme. Maple 15 has been employed for design and simulation studies.
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