Chapter 5 Information Theory and Coding In communication systems‚ information theory‚ pioneered by C. E. Shannon‚ generally deals with mathematical formulation of the information transfer from one place to another. It is concerned with source coding and channel coding. Source coding attempts to minimize the number of bits required to represent the source output at a given level of efficiency. Channel coding‚ on the other hand‚ is used so that information can be transmitted through the channel with
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Steganography Based On LSB Matching Revisited. [online] Retrieved from: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5411758 [Accessed: 17 Feb 2013]. Nag‚ A. et al. (2010). A Novel Technique For Image Steganography Based On Block-DCT And Huffman Encoding. [online] Retrieved from: http://arxiv.org/ftp/arxiv/papers/1006/1006.1186.pdf [Accessed: 21 Feb 2013]. Pandian‚ N. and Thangavel‚ R. (2012). Gray Coded Grayscale Image Steganoraphy Using Hufman Encoding. [online] Retrieved from: http://cscjournals
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compound image. The pictorial blocks are compressed using discrete haar wavelet transformation and text/graphics colors are mapped to primary colors using color quantization algorithm and the resulting index values are then compressed using lossless Huffman coding technique. The compressed image is then encrypted using Advanced Encryption Standard algorithm. The proposed model provides several benefits like low complexity‚ high compression ratio‚ and a high PSNR value .Moreover it ensures that the transmission
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DATA COMPRESSION The word data is in general used to mean the information in digital form on which computer programs operate‚ and compression means a process of removing redundancy in the data. By ’compressing data’‚ we actually mean deriving techniques or‚ more specifically‚ designing efficient algorithms to: * represent data in a less redundant fashion * remove the redundancy in data * Implement compression algorithms‚ including both compression and decompression. Data Compression
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that Ruth should follow. Without the proper modeling‚ Ruth couldn’t presume that the task could be done‚ it is within her capabilities and success is possible. As Hoffman worked at the main office and Ruth worked at a branch‚ it wasn’t possible for Huffman to show her how to accomplish work or to frequently demonstrate success. Hoffman should have made it possible for Ruth to be able to communicate with other successful branch manager who could have served as a role model. Another technique that was
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Lossy compression and they can be used to compress text‚ video‚ audio etc. Keywords—LossyCompression‚ Lossless Compression‚ Huffman Algorithm‚ DCT and JPEG. I. INTRODUCTION Compression is a process by which size of data is reduced. There are two main types of data compression lossless and lossy compression. These are further divided into different methods which are Huffman‚ run-length and Lempel-ziv. JPEG file compression applied with the help of DCT matrix. Sometimes the given data contains some
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Scott‚ V. J. (1992). New Method for Lossless Image Compression Using Arithmetic Coding. Information Processing and Management‚ 286‚ 749-763. Jagadish‚ H. P.‚ and Lohit‚ M. K. (2010). A NEW LOSSLESS METHOD OF IMAGE COMPRESSION AND DECOMPRESSION USING HUFFMAN CODING TECHNIQUES. Journal of Theoretical and Applied Information Technology‚ 18. Jean-loup‚ G. (1999‚ September 5). comp.compression Frequently Asked Questions. Retrieved March 3‚ 2013‚ from Faqs.org: http://www.faqs.org/faqs/compression-faq/part2/
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Fleet Truck Maintenance Database for Huffman Trucking Entities and Attributes Summary When using a database‚ the most important step is knowing how to use the table elements. The table defines the structure of the database based on its entities and Attributes. The entity is the object being stored and the Attributes describe information about the entity and its reason being documented. When using this table‚ one needs to first know how to access the database‚ table and
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Module 6 STILL IMAGE COMPRESSION STANDARDS Version 2 ECE IIT‚ Kharagpur Lesson 16 Still Image Compression Standards: JBIG and JPEG Version 2 ECE IIT‚ Kharagpur Instructional Objectives At the end of this lesson‚ the students should be able to: 1. Explain the need for standardization in image transmission and reception. 2. Name the coding standards for fax and bi-level images and state their characteristics. 3. Present the block diagrams of JPEG encoder and decoder. 4. Describe
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Strategic Analysis of the Indonesian Truck Operations Market July 2013 Final Report © 2013 © July 2013 Frost & Sullivan Frost & Sullivan has relied on desk research and secondary data sources as well as its understanding of the industry in compiling this short industry report. These have not been independently verified by Frost & Sullivan. Projections‚ estimates‚ and other forward-looking statements contained in this section and throughout the document are inherently uncertain
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