Data compression plays an important role in multimedia communication. A major compression technique is performed by converting the fixed-length codes to variable-length codes. Huffman coding is demonstrated to be a very efficient coding scheme and has been widely adopted. However, the variable-length codes increase the difficulties of fast decoding. In addition, the variable decoding time is no...

This paper presents the architecture and design of a high-performance asynchronous Huffman decoder for compressed-code embedded processors. In such processors, embedded programs are stored in compressed form in instruction ROM, then are decompressed on demand during instruction cache refill. The Huffman decoder is used as a code decompression engine. The circuit is non-pipelined, and is impleme...

A data compression scheme that exploits locality of reference, such as occurs when words are used frequently over short intervals and then fall into long periods of disuse, is described. The scheme is based on a simple heuristic for self-organizing sequential search and on variable-length encodings of integers. We prove that it never performs much worse than Huffman coding and can perform subst...

Lossless image compression is needed in many fields like medical imaging, telemetry, geophysics, remote sensing and other applications, which require exact replica of original image and loss of information is not tolerable. In this paper, a near lossless image compression algorithm based on row by row classifier with encoding schemes like Lempel Ziv Welch (LZW), Huffman and Run Length Encoding ...

In this paper, Compression and improving the Quality of images during the transmission using SPIHT algorithm combined with Huffman encoding over OFDM channel has been proposed. Initially decompose the image in to different level, the compressed coefficients are arranged in descending order of priority and mapped over the channels. The coefficients with lower importance level, which are likely t...

Image compression is a technique to reduce irrelevance and redundancy of the image data in order to be able to store or transmit data in an efficient form. This paper presents a peculiar Hybrid Transform genesis technique for image compression using two orthogonal transforms. The concept of hybrid transform is to combine the attributes of two different orthogonal transform wavelet to attain the...

With the developments of Internet Things (IoT) and cloud-computing technologies, cloud servers need storage a huge volume IoT data with high throughput robust security. Joint Compression Encryption (JCAE) scheme based on Huffman algorithm has been regarded as promising technology to enhance method. Existing JCAE schemes still have following limitations: (1) The keys in would be cracked by physi...