Image Compression Using MH Encoding

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2014 by IJCTT Journal
Volume-13 Number-2
Year of Publication : 2014
Authors : M.Sathya Deepa , Dr.N.Sujatha
DOI :  10.14445/22312803/IJCTT-V13P115

MLA

M.Sathya Deepa , Dr.N.Sujatha. "Image Compression Using MH Encoding". International Journal of Computer Trends and Technology (IJCTT) V13(2):68-71, July 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Image Compression is the application of Data Compression on digital image. The techniques used for the image compression are broadly divided into lossy and lossless compression techniques. One of the lossless compression techniques is Huffman encoding. In this paper, the new method MH Encoding (Median Filter + Huffman Encoding) is used to compress the images. Here the images are preprocessed using median filters and then the Huffman encoding is used for compressing the image to improve the compression ratio.

References
[1]. S.K. Ghosh, “Digital Image Processing”.
[2]. A. Alarabeyyat1, S. Al-Hashemi1, T. Khdour1, M. Hjouj Btoush1, S. Bani-Ahmad1, R. Al-Hashemi2, “ Lossless Image Compression Technique Using Combination Methods”, Journal of Software Engineering and Applications, 2012, 5, 752-763
[3]. http://www.pcmag.com/encyclopedia/term/46335/lossy-compression
[4]. M.B. Bhammar & K.A. Mehta, “Survey of various image compression techniques”, International Journal of Darshan Institute on Engineering Research & Emerging Technologies, Vol 1, No.1, 2012.
[5]. P.S.Arun Kumar, “ Implementation of Image Compression Algorithm using Verilog with Area, Power and Timing Constraints”.
[6]. Jian-Jung Ding, “An Introduction to Image Compression”.
[7]. http://en.wikipedia.org/wiki/Median_filter
[8]. Matthias Kirchner and Jessica Fridrich, “On Detection of Median Filtering in Digital Images”.
[9]. Dr.G.Padmavathi, Dr.P.Subashini, Mr.M.Muthu Kumar and Suresh Kumar Thakur, “Performance analysis of Non Linear Filtering Algorithms for underwater images”, International Journal of Computer Science and Information Security, Vol.6, No. 2, 2009.

Keywords
compression, codewords, median filters, Huffman, encode, frequency.