AbstractsEngineering

The compression of digital signals has assumed greater importance newlinein the use storage and transmission of digital images A number of newlinecompression algorithms are already available for removing the redundancy in newlineimages But many of the conventional approaches fail to exploit the newlinesignificant image features in the reconstructed images So to improve the newlinesubjective and objective qualities of the reconstructed images a few Lifting newlinebased wavelet image compression algorithms are proposed in this thesis newlineThe main aim of this thesis is to propose novel compression newlinealgorithms that can adaptively remove any redundancy in images Lifting newlinebased wavelet transform together with Spatial and Direction adaptive methods newlineform the backbone for the proposed techniques The following five techniques newlineare proposed newline Lifting Scheme using Infinite Impulse Response IIR newlineRecursive filters derived from discrete interpolatory splines newline ii Implementation of IIR orthogonal wavelet filters in Lifting newlineScheme newline iii Spatial Adaptive Prediction for Lifting Scheme newline iv Spatial Adaptive Primal and Dual Lifting scheme based on newlineMean Square Error minimization and newline v Adaptive Directional Lifting newline newline%%%reference p185-193.