Date of Publication :7th March 2016

Abstract: This paper presents performance analysis of various wavelet filters namely Dmey, Daubichies, Symlets, Coiflets, Haar, Biorthogonal, with various decomposition level of Discrete Wavelet Transform for cameraman test images . The recent development in the digital electronics and computer engineering has resulted in generation of higher amount of data in the form of digital. Generally high resolution images are needed in many areas such as remote sensing, criminal investigation, medical imaging etc. This motivates the requirement of compression in large amount. The main aim of this research work is to obtain best quality of decompressed images even at very low bit rates. Now a days, Discrete Wavelet Transforms has emerged as a popular technique for image compression. The Discrete Wavelet Transform can be composed of any function that satisfies requirements of multi-resolution analysis. It means that there exists a large choice of wavelets depending on the choice of wavelet function. The Discrete Wavelet Transform has high de-correlation and energy compaction efficiency. Traditionally, In Wavelet Transform, we uses Root Mean square error (RMSE) to evaluate similarity of image blocks, but the similarity evaluated by MSE usually differs from human visual system (HVS). This paper presents a comparative study of various wavelet families for Lossless image compression and evaluate the results in terms of compressed image quality, PSNR, RMSE as considering as subjective quality measures and Compression Ratio.

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