AbstractTransform coding has been chosen for still image compression in the JPEG [1] standard. Although transform coding performs superior to many other image compression methods [2] and has fast algorithms for implementation [3], it is limited by a blocking effect at low bit rates. The blocking effect is inherent in all nonoverlapping transforms. This paper presents a technique for reducing bl...

Multidimensional sensors, such as digital camera sensors in the visual sensor networks VSNs generate a huge amount of information compared with the scalar sensors in the wireless sensor networks WSNs. Processing and transmitting such data from low power sensor nodes is a challenging issue through their limited computational and restricted bandwidth requirements in a hardware constrained environ...

An emerging trend in the banking industry is to digitize checks for storage and transmission. An immediate requirement for e cient storage and transmission is check image compression. General purpose compression algorithms such as JPEG and wavelet-based methods produce annoying ringing and blocking artifacts at high compression ratios. In this paper, a layered approach to check image compressio...

An emerging trend in the banking industry is to digitize checks for storage and transmission. An immediate requirement for e cient storage and transmission is check image compression. General purpose compression algorithms such as JPEG and wavelet-based methods produce annoying ringing or blocking artifacts at high compression ratios. In this paper, a layered approach to check image compression...

this paper presents a new coding method for image compression based on jpeg2000 and contourlet transform. jpeg2000 standard is a common standard that uses discrete wavelet transform (dwt) in the compression process. the main problems of dwt are failure to detect curved edges in image and its shortage representation of the ridge and furrow patterns which cause deficiency and block artifacts rema...

Several major efforts are under way in the Internet community to bring real-time mu communications into reality. Most of the efforts are targeted to solve network-related issues and leave the coding/compression problems to be answered by industry after market value becomes obvious. However, at this point, most of the codec vendors ar focusing on the constant-bit-rate network, which is the curre...

The lossless Burrows-Wheeler Compression Algorithm has received considerable attention over recent years for both its simplicity and effectiveness. It is based on a permutation of the input sequence − the Burrows-Wheeler Transform − which groups symbols with a similar context close together. In the original version, this permutation was followed by a Move-To-Front transformation and a final ent...

We present an algorithm that compresses two-dimensional data arrays, which are piece-wise smooth in one direction and have oscillatory events in the other direction. Seismic and hyperspectral data have this mixed structure. The transform part of the compression process is an algorithm that combines wavelet and the local cosine transform (LCT). The quantization and the entropy coding parts in th...

At the present time, we stand upon the threshold of a revolution in the means available to us for the widespread dissemination of information in visual form through the rapidly increasing use of international standards for image and video compression. Yet, such standards, as observed by the casual user, are only the tip of the coding iceberg. Something like half a century of scientific and tech...