Technically, all image data compression schemes can be categorized into two groups as lossless (reversible) and lossy (irreversible). Although some information is lost in the lossy compression, especially for the radiologic image compression, new algorithms can be designed to minimize the effect of data loss on the diagnostic features of the images. Wavelet transform (WT) constitute a new compr...

—Multimedia network systems require image and video compression schemes in order to efficiently take profit from the available bandwidth. In this paper, we present a wavelet still-image coder, called LTW (Lower-Tree Wavelet), based on the construction and codification of coefficient trees as other proposals do. This algorithm is fast and symmetric (except in extremely low bit rates), which make...

There are many instances in which human observers are the final judges of the quality of a compressed image. In such situations, it is useful to incorporate a model of the human visual system (HVS) into th e image compression system in order to reduce or even eliminate the visual distortions introduced to the reconstructed image. A compressed image is said to be perceptually lossless for a spec...

In this work, we present a new family of image compression algorithms derived from Shapiro’s embedded zerotrce wavelet (EZW) coder. These new algorithms introduce robustness to transmission errors into the bit stream while still preserving its embedded structure. This is done by partitioning the wavelet coefficients into groups, coding each group independently, and interleaving the bit streams ...

This paper represents the wavelet techniques used for compression of gray scale and true color images. Image compression methods is applied on the EZW has been successfully implemented to provide high compression rates maintaining ratio can be reached to good quality of the image with different level wavelet codes.

This paper presents a fast and modi"ed version of the embedded zero-tree wavelet (EZW) coding algorithm that is based on [4,5,15,20] for low bit-rate still image compression applications. The paper presents the trade-o! between the image compression algorithm speed and the reconstructed image quality measured in terms of PSNR. The measurements show a performance speedup by a factor of 6 in aver...