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FPGA based Hardware Implementation of Variant DPCM Image Compression Technique (Multiple LUT-DPCM)

Vandana Chahar, Seema Narwal Published in Signal Processing

International Journal of Applied Information Systems
Year of Publication: 2014
© 2013 by IJAIS Journal
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  1. Vandana Chahar and Seema Narwal. Article: FPGA based Hardware Implementation of Variant DPCM Image Compression Technique (Multiple LUT-DPCM). International Journal of Applied Information Systems 7(1):16-19, April 2014. BibTeX

    	author = "Vandana Chahar and Seema Narwal",
    	title = "Article: FPGA based Hardware Implementation of Variant DPCM Image Compression Technique (Multiple LUT-DPCM)",
    	journal = "International Journal of Applied Information Systems",
    	year = 2014,
    	volume = 7,
    	number = 1,
    	pages = "16-19",
    	month = "April",
    	note = "Published by Foundation of Computer Science, New York, USA"


This paper proposed FPGA implementation of variant DPCM based image compression technique (Multiple LUT-DPCM). Image compression addresses the problem of reducing the amount of data required to represent a digital image. Such data compression can be achieved by reducing the redundancies of the image data in order to be able to store or transmit data in an efficient form. There are various onboard data compression techniques used in image processing. Out of which DPCM based compression technique is the most commonly used one. For the hardware implementation, an algorithm for Multiple LUT DPCM is designed. VHDL code is developed based on the algorithm designed. After simulation and verification of developed code with test data generated, it implemented in to hardware. The developed hardware's functionality, then verified with the already simulated data and also with real image data.


  1. Arthur R. Weeks, 2004 "Fundamentals of Electronic Image Processing", SPIE Optical Engineering Press, pp 471-522.
  2. Ashok Kumar, Rajiv Kumaran, Sandip Paul, 13-08-2012 "study on DPCM techniques for better radiometric performance" SFED-SEG-SAC.
  3. Michael W. Marcellin, Michael J. Gormish, Ali Bilgin, Martin P. Boliek, 2000 "An Overview of JPEG-2000", IEEE Data Compression Conference, pp. 523-541.
  4. MajidRabbani, Paul W. Jones, 1991 "Digital Image Compression Techniques", Volume TT 7, Donald C. O'Shea, Series Editor Georgia Institute of Technology, pp 49-92.
  5. Young SooSuh, Young Shick Ro and Hee Jun Kang dec2010 "Inertial Sensor Data Compression using Modified ADPCM", 11th international conf. control, automation, robotics and vision Singapore.
  6. S. R Subramanya, Abdou Youssef, 1998 "performance evaluation of Lossy DPCM coding of image using different predictors and quantizers. "
  7. Katherine Bouman, VikasRamachandra, KalinAtanassov, Mickey Aleksic and Sergio R. Goma, 2011 "RAW camera DPCM compression performance analysis", SPIE-IS&T Electronic Imaging, SPIE Vol. 7867, 78670N.


Image Compression, Redundancies, LUT, Differential Pulse Code Modulation (DPCM), FPGA