In this paper, we revisit the classical data compression problem for domain specific texts. It is well-known that classical Huffman algorithm is optimal with respect to prefix encoding and the compression is done at character level. Since many data transfer are domain specific, for example, downloading of lecture notes, web-blogs, etc., it is natural to think of data compression in larger dimen...

A non-decreasing sequence of positive integer weights P = {p1, . . . , p2, pn} is called k-ordered if an intermediate sequence of weights produced by Huffman algorithm for initial sequence P on i-th step satisfies the following conditions: p (i) 2 = p (i) 3 , i = 0, k; p (i) 2 < p (i) 3 , i = k + 1, n − 3. Let T be a binary tree of size n and M = M(T ) be a set of such sequences of positive int...

A lossy image compression algorithm designed for highspeed, high quality data applications is described. The algorithm consists of a vector quantizer followed by a modified Huffman entropy encoder. The quantizer is a meanremoved, adaptive-search, residual vector quantizer. A few details of a high-speed hardware implementation for reconnaissance are given, as well as an example of the performanc...

Digital image and video in their raw form require an enormous amount of storage capacity. Considering the important role played by digital imaging and video, it is necessary to develop a system that produces high degree of compression while preserving critical image/video information. There is various transformation techniques used for data compression. Discrete Cosine Transform (DCT) and Discr...

Huffman coding has been widely used in data, image, and video compression. Novel maximal prefix coding different from the Huffman coding is introduced. Relationships between the Huffman coding and optimal maximal prefix coding are discussed. We show that all Huffman coding schemes are maximal prefix coding schemes and have the shortest average code word length among maximal prefix coding scheme...

ABSTRACT Huffman Compression, also known as Huffman Coding, is one of many compression techniques in use today. The two important features of Huffman coding are instantaneousness that is the codes can be interpreted as soon as they are received and variable length that is a most frequent symbol has length smaller than a less frequent symbol. The traditional Huffman coding has two procedures: co...

In this paper we present the generalization of the test sequencing problem, originally defined for symmetrical tests, that also covers asymmetrical tests. We prove that the same heuristics that has been employed in the traditional solution of the problem (e.g., the AO∗ algorithm with heuristics based on Huffman’s coding) can be employed also for the generalized case. Examples are given to illus...