Preview

Compression of Medical Images Using Deflate Algorithm

Powerful Essays
Open Document
Open Document
7853 Words
Grammar
Grammar
Plagiarism
Plagiarism
Writing
Writing
Score
Score
Compression of Medical Images Using Deflate Algorithm
CHAPTER TWO 2.0 LITERATURE REVIEW 3.1 IMAGES
An image may be defined as a rectangular array of pixels. The pixel of a grayscale image is a nonnegative integer interpreted as the intensity (brightness, luminosity) of the image (Deever and Hemami, 2003). It is a picture that has been created or copied and stored in electronic form. An image can be described in terms of vector graphics or raster graphics . An image stored in raster form is sometimes called a bitmap (Margaret, What is image? - Definition from WhatIs.com:, 2005)
According to Magaret Rouse, Raster graphics are digital images created or captured (for example, by scanning in a photo) as a set of samples of a given space. A raster is a grid of x and y coordinates on a display space (And for three-dimensional images, a z coordinate.) A raster image file identifies which of these coordinates to illuminate in monochrome or color values. The raster file is sometimes referred to as a bitmap because it contains information that is directly mapped to the display grid. Examples of raster image file types are: BMP, TIFF, GIF, and JPEG files (Margaret, What is raster graphics? - Definition from WhatIs.com, 2005)
Vector graphics is the creation of digital images through a sequence of commands or mathematical statements that place lines and shapes in a given two-dimensional or three-dimensional space. In physics, a vector is a representation of both a quantity and a direction at the same time. In vector graphics, the file that results from a graphic artist 's work is created and saved as a sequence of vector statements. For example, instead of containing a bit in the file for each bit of a line drawing, a vector graphic file describes a series of points to be connected. One result is a much smaller file (Magaret, 2006)
Digital images are characterized by multiple parameters. The first feature of a digital image is its color mode. A digital image can have one of three modes: binary, grayscale or color. A



References: Alagendran, B., and Manimurugan, S. (2012). A Survey on Various Medical Image Compression Techniques. International Journal of Soft Computing and Engineering (IJSCE), 2, 43-43. Alarabeyyat, A. (2010). Lossless Image COmpression Techniques Using Combination Method. Al-Hashemi, R., and Kamal, I. (2011). A New Lossless Image Compression Technique Based on Bose. International Journal of Software Engineering and Its Applications, 5(3), 15-22. Al-Hashemi, R., and Kamal, I. W. (2011, July). A New Lossless Image Compression Technique Based on Bose, Chandhuri and Hocquengham (BCH) Codes. International Journal of Software Engineering and Its Applications, 5 No. 3, 15-22. Andrew, G. (2002, April 13). An Explanation of the 'Deflate ' Algorithm. Retrieved April 23, 2013, from www.zlib.net: http://www.zlib.net/feldspar.html Aswin, K Avramović, A., and Savić, S. (2011, February). Lossless Predictive Compression of Medical Images*. SERBIAN JOURNAL OF ELECTRICAL ENGINEERING, 8, 27-36. Bahadili, H., and Rababa 'a, A. (2010). A Bit-Level Text Compression Scheme Based on HCDC Algorithm. International Journal of Computer and Applications, 32(3). Chandra, N. S., Raju, M. B., Arya bahanu, M., and Vikram, B. R. (2009). Binary merge coding for lossless image data compression. Journal of Computer Science, 5(5), 388-391. Chen, R. -C., Pai, P. -Y., Chan, Y. -K., and Chang, C. -C. (2009). Lossless Image Compression Based on Multiple-Tables Arithmetic Coding. Mathematical Problems in Engineering, 2009. Chen, Y.-Y. (2007). Medical image compression using DCT-based sub band decomposition and modified SPIHT data organization. International journal of medical informatics, 76, 717-725. Cho, S., Kim, D., and Pearlman, W. A. (2004, March). Lossless Compression of Volumetric Medical Images with Improved Three-Dimensional SPIHT Algorithm. Journal of Digital Imaging, 17(1), 57-63. Deever, A., and Hemami, S. (2003). Lossless image compression with projection-based and adaptive reversible integer wavelet transforms. IEEE Transactions on ImageProcessing, 12, 489-499. Elias, P. (1955). Coding for noisy channels. IRE Convetion Record, 4, 37-46. Franti, P. (1993). A fast and Efficient Compression Method for Binary Image. Howard, P. G., and 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/ Jiang, H., ZhiyuanMa, Hu, Y., Yang, B., and Zhang, a Koff, D. A., MD, and Shulman, H. (2006). An Overview of Digital Compression of Medical Images: Can We Use Lossy Image Compression in Radiology? CARJ, 57, 211-217. Magaret, R. (2006, February). What is vector graphics? - Definition from WhatIs.com:. Retrieved February 15, 2013, from WhatIs.com: http://searchwindevelopment.techtarget.com/definition/vector-graphics Margaret, R Margaret, R. (2005, September). What is raster graphics? - Definition from WhatIs.com. Retrieved February 15, 2013, from WhatIs.com: http://searchcio-midmarket.techtarget.com/definition/raster-graphics Meyer, B., and Tischer, P Muthaiah, R., NeelaKantan, K., Sharma, V., and Arora, A. (2008). Image compression and reconstruction using cubic spline interpolation technique. American Journal of Applied Sciences, 5(11). Nadarajan, K., and Zukarnain, Z. A. (2008). Analysis of string matching compression algorithm. Journal of Computer Science, 4(3), 205-210. Neil, C. (2012). Huffman compression in the Deflater. Retrieved April 24, 2013, from www.javamex.com: http://www.javamex.com/tutorials/compression/deflater_algorithm2.shtml#.UXfC8rWG2Kg Neil, C Perlmutter, e. a. (1998). Medical Image Compression and Vector Quantization. Statistical Science (13), 1, 50-53. Pujar, J. H., and Kadlaskar, L. M. (2010). A new Lossless Method of Image Compression and Decompression using Huffman Coding Technique. 15(1), 1-*. Rachel, A. (2011, January). Different Image Formats - And When to Use Them. Retrieved February 15, 2013, from 1stwebdesigner: http://www.1stwebdesigner.com/design/different-image-formats/ Ramakrishnan, B., and Sriraam, N Rapinder, K., and Kaushal, N. (2010). Comparative Analysis of Various Compression Methods for Medical images. National Institute of Technical Teachers’ Training and Research, 1-5. S.M.Ramesh, and A.Shanmugam. (2010). Medical Image Compression using Wavelet Decomposition for Prediction Method. (IJCSIS) International Journal of Computer Science and Information Security, 7, 262-265. Saravanan, C., and Ponalagusamy, R. (2009). Lossless Grey-scale Image Compression using Source Symbols Reduction and Huffman Coding. International Journal of Image Processing, 3(5). Shannon, C. E. (1948, july, October). A Mathematical Theory of Communication. the Bell System Technical Journal, 27, 379-423, 623-656. Sharma, D. K., Gaur, loveleen, and Okunbor, D. (2005). Image compression and feature extraction using kohonen 's SOM neural network. Journal of Strategic E-Commerce, 5(1). Starosolski, R. (2006, December 20). Simple Fast and Adaptive Lossless Image Compression Algorithm. Software Practice and Experience, 1-28. Talu, M. F., and Turkoglu, I. (2003). Hybrid lossless compression method for binary images. 1-9. Wayne, F. (2010). Image file formats - TIF, JPG, PNG, GIF. Retrieved February 15, 2013, from SCANTIPS: http://www.scantips.com/basics09.html Wei, W.-Y Weinberger, M., and Seroussi, G. (1999). The LOCO-I Lossless Image Compression Algorithm: Principles and Standardization into JPEG-LS. IEEE Int’l Conference on Image Processing, 68-72. Wheeler, M. B. (1994). A Block-Sorting Loss-less Data Compression Algorithm. Systems Research Center, 22(5). Zhou, L. (2004). A New Highly Efficient Algorithm for Lossless Binary Image Compression. Master Thesis,. Zukoski, J., M., Boult, Terrance, and Iyriboz, T. (2006). A novel approach to medical image compression. Int. J. Bioinformatics Research and Applications, 2(1).

You May Also Find These Documents Helpful

  • Satisfactory Essays

    NT1210 Lab 1

    • 473 Words
    • 3 Pages

    Using the example in Figure 1-5 and the steps that followed, create a binary conversion for the…

    • 473 Words
    • 3 Pages
    Satisfactory Essays
  • Powerful Essays

    In this report, I will talk about my understanding of the impact in various file format, the different compression techniques, and different resolutions and different colour depth. I will show print screens of different types of compression techniques, megapixels under image quality & resolution and three different types of colour depths. I will explain the reasons why some are larger compared to others. The format includes PSD, JPEG, TIFF, BMP and GIF. I will also go into detail why colour depths will affect the quality of the final output that the file has created.…

    • 2192 Words
    • 9 Pages
    Powerful Essays
  • Satisfactory Essays

    Using a system of 1's and 0's ______________ is the most common way of encoding data.…

    • 932 Words
    • 4 Pages
    Satisfactory Essays
  • Powerful Essays

    Ict Unit 30

    • 2076 Words
    • 9 Pages

    JPG file - JPG files, also known as JPEG files, are a common file format for digital photos and other digital graphics. When JPG files are saved, they use "lossy" compression, meaning image quality is lost as file size decreases.…

    • 2076 Words
    • 9 Pages
    Powerful Essays
  • Satisfactory Essays

    New to Health Care HCS/212 August 14, 2013 Dana Jankus New to Health Care In the past 20 years, there has been a huge growth of digital radiology in various organizationsThe article in general was written back in April 2000. It discusses about clinical trial with the digital radiology specifically using the Xplore 1000 digital system. In the year 2000, a chiropractor was the first to install this particular system for commercial use. There was an improvement in diagnostic and clinical information. Patients were getting faster results and getting a better understanding of their condition. One benefit of digital x-ray has become common in most hospitals and clinics is that it creates a digital picture archive within hospital communication systems allowing doctors to have easy access their patient images. It is designed to replace film in just about any existing X-ray imaging equipment used today and does not require film developers, processing chemicals or storage space. Another benefit is that digital X-ray images can be obtained almost instantly and their resolution, contrast and clarity are at least as good as those of film (Kermode-Scott,2000). Conventional film can take generally 10-15 minutes to process. Its takes up a large amount of time and the processing chemicals can be a bit much to deal with. Digital imaging is also being touted for its ability to capture more information than film. For example, radiologists can view New to Health Care the lungs, heart, bones and a pacemaker from one shot rather than the multiple shots required by conventional radiographs (Kermode-Scott, 2000). Digital imaging would change the office and for the better. We would not need the tall giant-sized book shelves to hold the x-rays films we have in envelopes. We would have so much more space. The office would save paper because we would not have to file x-ray reports with the films. We can do everything from the desktop computer. Also a big plus to digital imaging…

    • 682 Words
    • 2 Pages
    Satisfactory Essays
  • Powerful Essays

    Ipt Hsc Notes

    • 11818 Words
    • 48 Pages

    Both text and numbers are displayed as images using fonts. Each font describes how each character will be rendered when displayed.…

    • 11818 Words
    • 48 Pages
    Powerful Essays
  • Good Essays

    Java

    • 490 Words
    • 3 Pages

    Write a Java program to demonstrate using bitmaps and bitwise operators to sort and remove duplicates from a file of random phone numbers. Do not confuse the term bitmap used for compressing data into smaller spaces with the bitmap that has come to mean a graphic image.…

    • 490 Words
    • 3 Pages
    Good Essays
  • Powerful Essays

    D2: Discuss the impact that file format, compression techniques, image resolution and colour depth have on file size and image quality.…

    • 2174 Words
    • 9 Pages
    Powerful Essays
  • Powerful Essays

    7zip

    • 1383 Words
    • 12 Pages

    2) Compression Level: This are presets for the settings, the names are pretty self explanatory,…

    • 1383 Words
    • 12 Pages
    Powerful Essays
  • Better Essays

    related to learning using deep networks (see [3]) that are generalizations of neural networks. They are layered network of nodes connected by edges between…

    • 8763 Words
    • 43 Pages
    Better Essays
  • Powerful Essays

    References: [1]. A. Chen, N. Shehad, A. Virani and E. Welsh, Discrete Wavelet Transform for…

    • 2415 Words
    • 10 Pages
    Powerful Essays
  • Powerful Essays

    2d-Ar Model

    • 2732 Words
    • 11 Pages

    References: [1] X. Li and M. T. Orchard, “New edge-directed interpolation,” IEEE Trans. Image Processing, pp. 1521–1527, Oct. 2001. [2] D. D. Muresan and T. W. Parks, “Adaptively quadratic (aqua) image interpolation,” IEEE Trans. on Image Processing, vol. 13, pp. 690–698, May 2004. [3] X. Wu, K. U. Barthel, and W. Zhang, “Piecewise 2d autoregression for predictive image coding.” in IEEE ICIP’98, vol. 3, Oct. 1998, pp. 901–904. [4] B. Meyer and P. Tischer, “Tmw – a new method for lossless image compression,” in Proceed. of PCS’97, Oct. 1997. [5] I. Matsuda, H. Mori, J. Maeda, and S. Itoh, “Design and evaluation of minimum-rate predictors for lossless image coding,” Trans. IEICE (DII), vol. J85-D-II, pp. 448–456, Mar. 2002. [6] R. G. Keys, “Cubic convolution interpolation for digital image processing,” IEEE Trans. Acoustic, Speech and Signal Processing, vol. 29, pp. 1153–1160, 1981. [7] K. Jensen and D. Anastassiou, “Subpixel edge localization and the interpolation of still images,” IEEE Trans. Image Processing, vol. 4, pp. 285–295, Mar. 1995.…

    • 2732 Words
    • 11 Pages
    Powerful Essays
  • Powerful Essays

    Steps in Image Processing

    • 1984 Words
    • 8 Pages

    Image Processing is processing of the image so as to reveal the inner details of the image for further investigation. With the advent of digital computers, Digital Image Processing has started revolutionizing the world with its diverse applications. The field of Image Processing continues, as it has since the early 1970’s, on a path of dynamic growth in terms of popular and scientific interest and number of commercial applications. Considering the advances in the last 30 years resulting in routine application of image processing to problems in medicine, entertainment, law enforcement, and many others.…

    • 1984 Words
    • 8 Pages
    Powerful Essays
  • Better Essays

    Data Compression

    • 11698 Words
    • 47 Pages

    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:…

    • 11698 Words
    • 47 Pages
    Better Essays
  • Powerful Essays

    Wave Let Theory

    • 1964 Words
    • 8 Pages

    The Wavelet Series is just a sampled version of CWT and its computation may consume significant amount of time and resources, depending on the resolution required. The Discrete Wavelet Transform (DWT), which is based on sub-band coding, is found to yield a fast computation of Wavelet Transform. It is easy to implement and reduces the computation time and resources required.…

    • 1964 Words
    • 8 Pages
    Powerful Essays

Related Topics