Effective Image Compression Techniques using Pre-filtering of Daubechies Transform

Abstract

Image compression has become an active area of research in the field of Image processing particularly in the applications of medical and space sciences. Due to its importance, several image compression techniques were developed in the literature. But, majority of the conventional image compression approach available in the literature have poor visual quality and low PSNR value. In recent years, wavelet transform is observed to be very efficient in improving the performance of the image compression techniques. The main advantages of wavelet based methods lie in their energy compaction property and multi-resolution decomposition capability. The existing Haar transform based image compression approach has very low computational complexity but its compression performance is not significant. Improved SPIHT algorithm is used in this approach for the effective image compression of the image. This paper introduces a novel image compression approach using effective Daubechies Wavelet transform. For best performance in image compression, pre-filtering of wavelets transform is performed that combine a number of desirable properties, such as orthogonality and symmetry. The experimental results reveal that PSNR value and the visual quality of the proposed Improved SPIHT are very significant.