Advance medical imaging requires storage of large quantities of digitized clinical data. Due to the bandwidth and storage limitations, medical images must be compressed before transmission and storage. Diagnosis is effective only when compression techniques preserve all the relevant and important image information needed. There are basically two types of image compression: lossless and lossy. L...

When implementing multivalued consensus using binary consensus, previous algorithms assume the availability of uniform reliable broadcast, which is not implementable in systems with fair-lossy links. In this paper, we show that with binary consensus we can implement uniform reliable broadcast directly in systems with fair-lossy links, and thus the separate assumption of the availability of unif...

In recent years, wireless networks have become increasingly common and an increasing number of devices are communicating with each other over lossy links. Unfortunately, TCP performs poorly over lossy links as it is unable to differentiate the loss due to packet corruption from that due to congestion. In this paper, we present an extension to TCP which enables TCP to distinguish packet corrupti...

abstract Compression with Reversible Embedded Wavelets (CREW) is a uniied lossless and lossy continuous-tone still image compression system. It is wavelet-based using a \reversible" approximation of one of the best wavelet lters. Reversible wavelets are linear lters with non-linear rounding which implement exact-reconstruction systems with minimal precision integer arithmetic. Wavelet coeecient...

Most of the images transmitted from deep space probes to Earth are subject to lossy compression. Recent NASA missions have used the ICER progressive wavelet image compressor to achieve state-of-the-art compression performance. The purpose of the research described in this paper was to demonstrate that it is possible to evolve wavelet and scaling numbers describing novel transforms that outperfo...

Several techniques have been developed for modifying the JPEG standard lossy compression algorithm in order to improve image quality, and two of them are discussed in this report. Also, since these techniques have mainly been evaluated in terms of peak signal-to-noise ratio (PSNR), which is an outdated image quality metric (IQM), the topic of image quality assessment is investigated. Finally, t...

JPEG is the ubiquitous lossy compression protocol for images. Its efficiency depends, however, on predominant local flatness of the image. Therefore, encoding holograms (in essence, Fourier transforms of a 2D image) leaves little hope for efficient compression: the holograms typically consist of highly oscillating patterns. This article provides an overview of the JPEG lossy compression, and fo...

Medical image compression is essential for huge database storage in various hospitals and data transfer for diagnosis. Wavelets give one such approach for compression purpose. A wavelet is a wave-like oscillation with an amplitude starts from zero, increases, and then decreases again to zero. Compression techniques are divided into lossless and lossy techniques. Lossless technique involves exac...

A simple technique for the restoration of color images degraded by lossy compression is presented. The proposed approach deals with the YIQ color space and processes the luminance component by means of a recursive algorithm based on fuzzy models. This design choice combines effectiveness and simplicity. Indeed, the method can satisfactorily reduce quantization errors produced by lossy compressi...

This document presents a technique based on the JBIG algorithm for binary shape coding in both lossless and lossy modes. Because it is applied directly to the bitmap representing the shape information, it bypasses the overhead in computation of an intermediate contour representation and its associated conversions. This leads to a simpler algorithm which is more suitable for a larger class of sh...