In this study, the focus was on the use of ternary tree over binary tree. Here, a new two pass Algorithm for encoding Huffman ternary tree codes was implemented. In this algorithm we tried to find out the codeword length of the symbol. Here I used the concept of Huffman encoding. Huffman encoding was a two pass problem. Here the first pass was to collect the letter frequencies. You need to use ...

In this study, the focus was on the use of ternary tree over binary tree. Here, a new one pass Algorithm for Decoding adaptive Huffman ternary tree codes was implemented. To reduce the memory size and fasten the process of searching for a symbol in a Huffman tree, we exploited the property of the encoded symbols and proposed a memory efficient data structure to represent the codeword length of ...

This research paper presents a proposed method for the compression of medical images using hybrid compression technique (DWT, DCT and Huffman coding). The objective of this hybrid scheme is to achieve higher compression rates by first applying DWT and DCT on individual components RGB. After applying this image is quantized to calculate probability index for each unique quantity so as to find ou...

In this paper, the comparative studies of Adaptive Region Based Huffman compression techniques are done. All these techniques use a region formation algorithm that is also discussed. This algorithm is used to form regions whose size is adjusted depending on the ASCII value difference of elements in the file. One of the techniques is Size Adaptive Region Based Huffman Compression (SARBH) where H...

With the recent trend in Information and Communication Technology, Storage and Transfer of data and Information are two vital issues which have Cost and Speed implication respectively. Large volume of data (text or image) is constantly being processed on the internet or on a Personal Computer, which has led to the Upgrade of current System. Hence the need for compression, which reduces storage ...

• Arithmetic Coding is universal • Arithmetic coding is suitable for small alphabet (binary sources) with highly skewed probabilities. • Huffman cannot allocate fractional bits to symbols: , but the algorithm will assign 1 bit. Huffman needs at least one bit per symbol. If, however, the alphabet is large and probabilities are not skewed, Huffman rate is pretty close to entropy (H). , 01 . 0 , 9...

The paper presents a novel algorithm and architecture for implementing a Huffman decoder. It starts with an overview of the basics, from the entropy coding and the way the Huffman coding is obtained, to the way a Huffman coder handles data and image components within the Jpeg standard. Then it briefly discusses the decoding procedures proposed by the ISO/IEC 109181(1993E) standard; due to their...

This paper describes the derivation of the T-complexity and T-information theory from the decomposition of finite strings, based on the duality of strings and variable-length T-codes. It further outlines its similarity to the string parsing algorithm by Lempel and Ziv. In its first version [15], it was intended as a summary of work published mainly by Titchener and Nicolescu. Apart from minor c...