A new binary (bit-level) lossless compression catalyst method based on a modular arithmetic, called Binary Allocation via Modular Arithmetic (BAMA), has been introduced in this paper. In other words, BAMA is for storage and transmission of binary sequences, digital signal, images and video, also streaming and all kinds of digital transmission. As we said, our method does not compress, but facil...

The redundancy in digital image representation can be classified into two categries: local and global. In this paper, we propose a new lossles binary image compression processing scheme which increases local redundancy for more compression efficiency. The algorithm consists of reordering rows and columns of image data for assembling data that has a same value: '0' or '1' merging each matrix ele...

Distributed coding is a new paradigm for video transmission, based on the Wyner-Ziv theorem. In this thesis, a new Wyner-Ziv codec was proposed using non-binary Low-Density Parity-Check (LDPC) codes. Non-binary LDPC codes, developed for use in channel coding, have been extended for source coding to compress correlated non-binary sources, such as video. The approach is based on considering the c...

The paper presents a binarization scheme that converts non-binary data into a set of binary strings. At present, there are many binarization algorithms, but they are optimal for only specific probability distributions of the data source. Overcoming the problem, it is shown in this paper that the presented binarization scheme conserves the entropy of the original data having any probability dist...

To achieve a high compression ratio when storing a large amount of Chinese characters is a problem in applications using Chinese characters. In this paper, we present a data compression software system which can reduce the storage requirement of Chinese characters and binary images. This system is composed of a Chinese font compressing subsystem and a binary image compressing subsystem. In the ...

Image compression plays a major role in saving bandwidth and memory space which is the need of hour. In industry various components are tested effectively using NDT (Non-Destructive Testing) and this information is stored in the system. To reduce the memory space required for storing, lossless compression is used. This paper focuses on the various scanning paths methods for lossless compression...

Document imaging and transmission systems (typically MFPs) require both effective and efficient image rendering methods that support standard data formats for a variety of document types, and allow for real time implementation. Since most conventional raster formats (e. g. TIFF, PDF, JPEG) are designed for use with either black and white text, or continuous-tone images, more specialized renderi...

This paper describes comparison and analysis of state-of-theart lossless image compression algorithms for light field mask data that are very useful in transmitting and refocusing the light field images. Recently, light field cameras have received wide attention in that they provide 3D information. Also, there has been a wide interest in studying the light field data compression due to a huge l...

In the recent period, image data compression is the major component of communication and storage systems where the uncompressed images requires considerable compression technique, which should be capable of reducing the crippling disadvantages of data transmission and image storage. In the research paper, the novel image compression technique is proposed which is based on the spatial domain whi...