GenLOT coding has been shown an effective technique for seismic data compression, especially when compared to block-based algorithms (such as JPEG), or to wavelets. The transforms remove statistical redundancy and permit efficient compression, when used with advanced encoding techniques, such as the Embedded Zerotree Coding framework. In this work we derive a model for seismic data based on aut...

This comparison paper scrutinizes image compression using Block Truncation Coding. Many algorithms were selected likely the original Block Truncation coding, Absolute Moment Block Truncation Coding, a comparison survey was executed. These above techniques are divided image into non overlapping blocks. They distinguish in the direction of choosing the quantization level in order to remove redund...

Wavelet techniques have achieved a tremendous success in image data compression. In designing wavelet coding algorithms, the choice of wavelet systems is of great importance for compression performance. In this paper, we design the entire class of antisymmetric biorthogonal coiiet systems, whose l-terbanks have even lengths and are linear phase. We show that one of the novel lterbanks achieves ...

In recent years, real-time video communication over the internet has been widely utilized for applications like video conferencing. Streaming live video over heterogeneous IP networks, including wireless networks, requires video coding algorithms that can support various levels of quality in order to adapt to the network end-to-end bandwidth and transmitter/receiver resources. In this work, a s...

In current light field compression algorithms, geometry information is critical for efficient compression of light field image data. Inaccuracies in the geometry can greatly affect the compression efficiency. In this paper, we present a theoretical framework with which we can analyze and understand the effects of geometry inaccuracy on the compression efficiency of a light field coder. This fra...

A rapidly advancing field, image compression has seen many recent developments. A number of well-known compression algorithms dominate the world of lossy compression, but in the realm of lossless compression, fewer techniques have been explored. The most successful lossy compression methods are based on transform methodologies, commonly involving the KLT, cosine, and wavelet transforms. However...

This paper presents an improvement of the Visual Pattern image coding (VPIC) scheme presented by Chen and Bovik in [2] and [3]. The patterns in this improved scheme are defined by morphological operations and classified by absolute error minimization. The improved scheme identifies more uniform blocks and reduces the noise effect. Therefore, it improves the compression ratio and image quality i...

In Scalable Video Coding (SVC), motion estimation and inter-layer prediction play an important role in elimination of temporal and spatial redundancies between consecutive layers. This paper evaluates the performance of widely accepted block matching algorithms used in various video compression standards, with emphasis on the performance of the algorithms for a didactic scalable video codec. Ma...

We consider matrix index and navigation index approaches to in-memory navigation of persistent object stores. We demonstrate that both approaches can be re-formulated independently from the used coding technique. We expose the limitations of fixed length coding and the inefficiency of simple continued fractions as a variable length coding technique. The conclusion is that alternative variable l...