Implementation of lossless image compression analysis using PCLZ algorithm with multiwavelet transform

Abstract

Image compression is the method of encoding less information than original bits of representation and to aid this fact, various associated methods are being reviewed. In this paper author(s) proposes an improvement over Pixel Compressed Lempel-Ziv (PCLZ) a compression algorithm, by employing a new technique that uses multiwavelet decomposition (MWD). The loss-less compression applications are used for quality data transfers, social media, medical imaging, and digital camera technology emerge. In previous loss-less image compression techniques effort to find the smallest specific pixel intensity levels of image quality, while the PCLZ compression used the maximum levels of LL band to compress the image. Moreover, the reconstruction of the image by using three-level Daubechies wavelet decomposition creates a number of levels of gray vector matrixes. The proposed method results in good quality metrics for the compress ratio (CR), peak signal to noise ratio (PSNR), mean square error (MSE) and bits per pixels (BPP) to exhibits a large set of different standard test images.