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

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can i get the matlab code of the rabiner's algorithm? i need it in my research
thank you. ....etc

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could you please send me the power point presentationfor the file compression sunzip i'm unable to find could you pls mail me that document to my mail id [email protected] ....etc

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Abstract
In this paper, a multi-ROIs medical imagecompression algorithm with edge feature preserving isproposed. By taking advantage of characteristics ofmedical image and human eye, the algorithm extractsimage edge information by using canny operator first,and then divides image into regions-of-interest (ROIs)and non-ROIs. To ROIs, lossless compressionalgorithm JPEG2000 is used. To non-ROIs, highcompression ratio algorithm SPIHT is used. Theexperimental results show that our algorithm hasfollowing advantages: (1) Th ....etc

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need some ideas for implementing of vcr engine in two wheeler si engines ....etc

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Intelligent Dictionary Based Encoding Algorithm for Text Data Compression for High-Speed Data Transmission over Internet (Java)
Proceedings on Data Compression,

Abstract:
Compression algorithms reduce the redundancy in data representation to decrease the storage required for that data. Data compression offers an attractive approach to reducing communication costs by using available bandwidth effectively. Over the last decade there has been an unprecedented explosion in the amount of digital data transmitted via the Internet, repres ....etc

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DATA COMPRESSION
Virtually all forms of data - text, numerical, image, video contain redundant elements
Data can be compressed by eliminating the redundant elements.
A code is substituted for the eliminated redundant element, where the code is shorter than eliminated element.
When compressed data is retrieved from storage or received over a communications link, it is expanded back to its original form, based on the code.
Compression is used:
to save storage space
to reduce communications transmission requiremen ....etc

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Abstract
Synthetic Aperture Radar (SAR) image compression is important in image transmission and archiving. In this paper, SAR image compression using embedded zerotree wavelets algorithm, based on discrete wavelet transform (DWT), is researched. Aiming at special characteristics of SAR image such as speckle noise, the author added a denoise step in the flow of compression, trying to do some meaningful attempt in SAR image compression. Experiments carried out show that the improvement can reduce the speckle noise and improve the compu ....etc

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VHDL IMPLIMENTATION OF LZW COMPRESSION ALGORITHM

Abstract

The adaptive Lempel-Ziv-Welch general-purpose algorithm and its implementation
suitable for packet radio telephone transmission, and archival storage. While the statistical variablelength
Huffman technique compresses text by 20%,the LZW technique can compress data (text,
numeric, mixed, and bit-mapped images)by 40 to 60%.
The adaptive LZW algorithm has very simple logic, leading to inexpensive and fast
implementati ....etc

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This article describes a efficient hardware architecture for Lempel-Ziv-Welch (LZW) data compression algorithm. The encoding and decoding operations are done simultaneously using a CAM array. In order to to achieve search and twofold store operations in single access during regular match operations, an anhanced CAM architecture is also proposed. the implementation of the LZW algorithm is accelerated by these enhanced CAM cells. the proposed
design is evaluated using the Corpus benchmarks.

Introduction
many lossless data compressio ....etc

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