Texture compression is a specialized form of image compression designed for storing texture maps in 3D computer graphics rendering systems. Texture compression is an important technique in graphics processing units (GPUs) for saving memory bandwidth. Unlike conventional image compression algorithms, texture compression algorithms are optimized for random access. Therefore, the variable-rate seq...

Existing compression techniques for waveform audio still rely heavily on the removal of data from the stored representation – lossy compression. This reduces the quality and is particularly an issue when the audio file is to be distributed over low bandwidth communication media. Small file sizes can be achieved using compression procedures, but the quality of the audio suffers, to the detriment...

This document specifies a ROHC (Robust Header Compression) profile for compression of TCP/IP packets. The profile, called ROHC-TCP, provides efficient and robust compression of TCP headers, including frequently used TCP options such as SACK (Selective Acknowledgments) and Timestamps. ROHC-TCP works well when used over links with significant error rates and long round-trip times. For many bandwi...

At the time when most of image data in hospitals are stored in digital form using picture archiving and communication systems (PACS), telemedicine goes through its boom, and demand for data storage and bandwidth requirements increases, lossy compression techniques become necessity. This review article summarizes different methods for quality measurement of image compression in radiology. After ...

Recent advances in high-performance portable processing equipment, such as mobile pro‐ cessors, have enabled users to experience new-generation devices, including networked gaming consuls, smart televisions and smart phones. Video coding, video compression and video communication are essential parts of the aforementioned applications. However, networking infrastructures do not offer unlimited b...

Image Compression is a demanding field in this era of communication. There is a need to study and analyze the literature for image compression, as the demand for images, video sequences and computer animation has increased at very high rate so that the increment is drastically over the years. Multimedia data whether graphics, audio, video data which is uncompress requires considerable transmiss...

In lossy compression, the quantisation introduces distortions and allows the encoder to adjust the size of the output stream to a desired bandwidth. The ratedistortion (RD) theory says that for a given source with known statistical properties and a given distortion measure, there exists a function, R(D), called the rate-distortion function which determines the best possible compression rate R(D...

Medical images are compressed before storage and transmission because of the bandwidth and storage limitations. After compression the redundancy and irrelevance of image data is reduced without affecting the quality of the image. The compression of images allows more images to be stored memory. The time required to send the images over the internet and download from the web pages are also be re...

Image compression is an efficient technique to reduce the size of graphical file and also reduce the storage requirement area. Image compression makes the faster transmission process as well as provides larger bandwidth and also provides security for the data transmission. In this paper provides basic information about image compression techniques and its types and also give the benefits relate...

Thin client compression (TCC) achieves the best compression efficiency for sequences of synthetic images. This paper presents a streaming version of TCC (STCC) that almost fully retains the excellent compression efficiency of the original algorithm. When sending images over low-bandwidth networks, STCC dramatically reduces end-to-end latency by pipelining rows and overlapping the compression, t...