Compression is used about everywhere. Images are very important documents nowadays; to work with them in some applications they need to be compressed, more or less depending on the purpose of the application. There are various algorithms that performs this compression in different ways; some are lossless and keep the same information as the original image, some others loss information when comp...

This paper introduces a new class of Huffman decoders which is a developmet of the parallel Huffman decoder model. With pipelining and partitioning, a regular architecture with an arbitrary degree of pipelining is developed. The proposed architecture dramatically reduces the symbol decoder requirements compared to previous results, and still is the actual implementation of the symbol decoder no...

Abstruct-In honor of the twenty-fifth amdversary of Huffman coding, four new results about Huffman codes are presented. 'Ibe ffrst result shows that a binary prefix condition code is a Huffmau code iff the intermediate and terminal nodes id the code tree can be listed by nonin-creasing probabiuty so that each node in the fist is adjacent to its sibling. The second result upper bounds the redund...

Security of medical images is an important issue, since applications such as Tele diagnosis exchange information over insecure communication channels. In this paper, Shamir secret sharing algorithm combined with DNA cryptography is proposed. The method involves the dispersion of medical image and Electronic Patient Record (EPR) into shadow images, aiming at better security characteristics. The ...

The amount of digital contents grows at a faster speed as a result does the demand for communicate them. On the other hand, the amount of storage and bandwidth increases at a slower rate. Thus powerful and efficient compression methods are required. The repetition of words and phrases cause the reordered text much more compressible than the original text. On the whole system is fast and achieve...

An estimated 15 million babies are born prematurely every year worldwide, and suffer from disabilities. Appropriate care of these pre-term babies immediately after birth through telemedicine monitoring is vital. However, problems associated with a limited bandwidth and network overload due to the excessive size of the electromyography (EMG) signal impede the practical application of such medica...

38 Abstract— Compression is a technology for reducing the quantity of data used to represent any content without excessively reducing the quality of the picture. The need for an efficient technique for compression of images ever increasing because the raw images need large amounts of disk space seems to be a big disadvantage during transmission & storage. Compression is a technique that makes s...

Image steganography is the art of hiding information into a cover image. This paper presents a novel technique for Image steganography based on DWT, where DWT is used to transform original image (cover image) from spatial domain to frequency domain. Firstly two dimensional Discrete Wavelet Transform (2-D DWT) is performed on a gray level cover image of size M × N and Huffman encoding is perform...

This paper propose a novel Image compression based on the Huffman encoding and decoding technique. Image files contain some redundant and inappropriate information. Image compression addresses the problem of reducing the amount of data required to represent an image. Huffman encoding and decoding is very easy to implement and it reduce the complexity of memory. Major goal of this paper is to pr...

New lower and upper bounds are obtained for the compression of optimal binary prefix codes according to various nonlinear codeword length objectives. Like the coding bounds for Huffman coding — which concern the traditional linear code objective of minimizing average codeword length — these are in terms of a form of entropy and the probability of the most probable input symbol. As in Huffman co...