Reconfigurable architecture of adaptive median filter — An FPGA based approach for impulse noise suppression || 2015-2016 IEEE Matlab Projects

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Reconfigurable Architecture of Adaptive Median
Filter An FPGA Based Approach for Impulse Noise
Suppression

• Presented by
• IIS TECHNOLOGIES
• No 40, C-Block,First Floor,HIET Campus, North
  Parade Road,St.Thomas Mount, Chennai, Tamil Nadu
  600016.
• Landline044 4263 7391,mob9952077540.
• Emailinfo_at_iistechnologies.in,
• Webwww.iistechnologies.in

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ABSTRACT

• In this paper, low complexity reconfigurable
  hardware architecture for adaptive median filter
  is proposed and a comparative study of hardware
  based median and adaptive median filter is
  presented. An efficient development of median
  adaptive median filter is presented for removal
  of impulse noise mainly salt pepper noise from
  digital Images.
• Performance measurement of mean square error
  (MSE) and peak signal-to-noise ratio (PSNR) is
  done to compare these two filters. This paper
  proposes hardware implementation which is highly
  required for real time execution.
• Field Programmable Gate Arrays (FPGAs) are widely
  used for real time processing where the
  requirements of time, speed, area, power become
  strict. The algorithms of these two filters are
  discussed in detail which is followed by FPGA
  based solutions. Simulation is done using Xilinx
  ISE 14.5 software of XILINX platform where the
  implementations utilize on Genesys VERTEX V FPGA
  Board of XC5VLX50T device family.
• Keywords--Adaptive Median Filter, Median Filter,
  Real-time Filtering, Salt-and-pepper noise,
  Impulse Noise, Field programmable gate array
  (FPGA).

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Introduction of the Median Filter

• The field of image processing has wide and
  important uses. Any field of work that involves
  images or videos has uses for research in this
  area. The results of this project will influence
  how images are processed and enhanced.
• Application stemming from the results of this
  project will be important to image and video
  enhancement applications because this research
  project provides insights on the best techniques
  in filtering and enhancing each kind of image.
• This project explores the effects of the median
  filter on different types of images. The fields
  explored include its effects on digital images of
  people, scenery, and objects. The quality of
  filtered images will be determined in a
  subjective manner.
• The effects of human errors and subjectivity do
  not detract from this study because image
  filtering is done for subjective and aesthetic
  qualities, so this method of evaluation makes
  sense as well. The median filter considers each
  pixel in the image in turn and looks at its
  nearby neighbors to decide whether or not it is
  representative of its surroundings.
• Instead of simply replacing the pixel value with
  the mean of neighboring pixel values, it replaces
  it with the median of those values. The median is
  calculated by first sorting all the pixel values
  from the surrounding neighborhood into numerical
  order and then replacing the pixel being
  considered with the middle pixel value.

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PROPOSED METHOD

• The proposed system is developed in order to get
  the following
• Input size is varied and results are analyzed
• Gray code input is given and their results are
  analyzed

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Advantages of the PROPOSED METHOD

• The advantage of the proposed system is having
  such that the newly developed algorithm is having
  low delay than the existing system.

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Block Diagram
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Flowchart
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TOOLS AND SOFTWARE USED

• Simulation Tool Model-Sum 6.3c
• Synthesis Tool Xilinx ISE 12.1
• Image Processing Tool MATLAB 2010

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Reference

• 1 Rafael C. Gonzalez, and Richard E. woods,
  Digital Image Processing, 3rd edition, Prentice
  Hall, 2009.
• 2 W.K. Pratt, Digital Image Processing.
  Wiley-Interscience, 1991
• 3 H. Hwang and R.A. Haddad, Adaptive Median
  Filters New Algorithms and Results, IEEE Trans.
  Image Processing, vol. 4, no. 4, pp. 499 - 502,
  Apr. 1995
• 4 S. Zhang and M.A. Karim, A New Impulse
  Detector for Switching Median Filter, IEEE Signal
  Processing Letters, vol. 9, no. 11, pp. 360-363,
  Nov. 2002
• 5 R.H. Chan, C.W. Ho, and M. Nikolova,
  Salt-and-Pepper Noise Removal by Median-Type
  Noise Detectors and Detail-Preserving
  Regularization, IEEE Trans. Image Processing,
  vol. 14, no. 10, pp. 1479-1485, Oct. 2005
• 6 P.E. Ng and K.K. Ma, A Switching Median
  Filter with Boundary Discriminative Noise
  Detection for Extremely Corrupted Images, IEEE
  Trans. Image Processing, vol. 15, no. 6, pp.
  1506-1516, June 2006

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OUTPUT

• SIMULATION
• HARDWARE

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Contact

• IIS TECHNOLOGIES
• No 40, C-Block,First Floor,HIET Campus, North
  Parade Road,St.Thomas Mount, Chennai, Tamil Nadu
  600016.
• Landline044 4263 7391,mob9952077540.
• Emailinfo_at_iistechnologies.in,
• Webwww.iistechnologies.in