Abstract
We present an adaptive lossless video compression algorithm based on predictive coding. The proposed algorithm exploits temporal, spatial, and spectral redundancies in a backward adaptive fashion with extremely low side information. The computational complexity is further reduced by using a caching strategy. We also study the relationship between the operational domain for the coder (wavelet or spatial) and the amount of temporal and spatial redundancy in the sequence being encoded. Experimental results show that the proposed ....etc

[:=Read Full Message Here=:]

Hi am Anurag from iiit nr i would like to get details on vhdl implementation of lossless data compression & decompression code. ....etc

[:=Read Full Message Here=:]

PRESENTED BY:
NAVEEN KUMAR.V
CHETAN KUMAR.N


INTRODUCTION:
Def: The main problem is that this “great idea requires too many bits. In fact there exist many coding techniques that will effectively reduce the total number of bits needed to represent the above information. In this lossless data compression algorithms we perform that compression of the data, and also it involves that no distortion of the original signal once it is decompressed or reconstituted. So much da ....etc

[:=Read Full Message Here=:]

Archiving and Distribution of 2-D Geophysical Data Using Image Formats With Lossless Compression
Abstract
Certain types of two-dimensional (2-D) numerical remote sensing data can be losslessly and compactly compressed for archiving and distribution using standardized image formats. One common method for archiving and distributing data involves compressing data files using file compression utilities such as gzip and bzip2, which are widely available on UNIX and Linux operating systems. GZIP-compressed files and bzip2-compressed ....etc

[:=Read Full Message Here=:]

An Improved Lossless Image Compression Algorithm Loco-R

— International Conference On Computer Design And Applications (Iccda )- Image Processing – Java

This paper presents a state-of-the-art implementation of lossless image compression algorithm LOCO-R, which is based on the LOCO-I (low complexity lossless compression for images) algorithm developed by weinberger, Seroussi and Sapiro, with modifications and betterment, the algorithm reduces obviously the implementation complexity. Experiments illustrate that this algorithm is better ....etc

[:=Read Full Message Here=:]

Hi am GEETHU would like to get details on hierarchical prediction and context adaptive coding for lossless color image compression ppt downlmad ..My friend Aathira said hierarchical prediction and context adaptive coding for lossless color image compression ppt downlmad will be available here .... Please help me... ....etc

[:=Read Full Message Here=:]

Hi am Betemariam i would like to get details on lossless image compression using java free source code ..My friend Mizan said lossless image compression using java free source code will be available here. ....etc

[:=Read Full Message Here=:]

please send us the documentation for line based cubism like image ....etc

[:=Read Full Message Here=:]

Lossless Data Compression for Compressing Space Craft Vibration Signals
by
Anoop S. S.
M105102
Department of Computer Science & Engineering
College of Engineering Trivandrum
Kerala - 695016
2010-11

Abstract
The project is to devise an enhanced compression algorithm suitable for compressing vibration
signals generated from ISRO space carriers. During space missions, it is necessary to measur ....etc

[:=Read Full Message Here=:]

A Pseudo Lossless Image Compression Method
I. INTRODUCTION
Data compression methods can be reversible (error-free) or irreversible (lossy).
A reversible scheme can only achieve a aximum compression ratio of about 2.5, but will allow exact recovery of the original image from the compressed version.
This compression ratio is limited by the noise in the image which degrades the correlation between pixels.
I. INTRODUCTION(cont.)
Today, lossy compression methods are not being used by radiologists in primary di ....etc

[:=Read Full Message Here=:]