Open Access Journal

ISSN : 2395-2717 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Electrical and Electronic Engineering(IJEREEE)

Monthly Journal for Electrical and Electronic Engineering

ISSN : 2395-2717 (Online)

Call For Paper : Vol 11, Issue 05, May 2024
Color Image Denoising Methods Based on Modified Mean-Median (MMM) Method

Author : Gourav Dhakad 1 Hitesh Gupta 2 Vijay Trivedi 3

Date of Publication :30th November 2017

Abstract: Image enhancement techniques are the best solution for improving the visual appearance of images to a human viewer. It also preserves the structural features of the image. Enhancement of the noisy image data without losing any significant information is very challenging. In this paper, we have introduced the modified mean median based method for removing impulse noise effectively while preserving details of the image. The proposed filter would be better than many of the existing filters such as the median filter and its variant and other fuzzy filters. The advantages of these methods are that it reduces Impulse noise in a grayscale image as well as the colour image (low-level impulse noise), it preserves edge sharpness, it does not introduce blurring artefacts or new colours artefacts in comparison to other states of the art methods.

Reference :

    1. R.C.Gonzalez and R.E. Wood, Digital Image Processing, Prentice-Hall, India, Second Edition, 2007.
    2.  Goutsias, J, Vincent, L., and Bloomberg, D. S. (eds.), Mathematical Morphology and Its Applications to Image and Signal Processing, Kluwer Academic Publishers, Boston, MA. 2000.
    3. Ritter, G.X. and Wilson, J.N., Handbook of Computer Vision Algorithms in Image Algebra, CRC Press, Boca Raton, FL., 2001.
    4. Scott E Umbaugh, Computer Vision and Image Processing, Prentice Hall PTR, New Jersey, 1998.
    5. T. Chen, K. K. Ma, and L. H. Chen, “Tri-state median filter for image denoising,” IEEE Trans. Image Process., vol. 8, pp. 1834–1838, Dec.1999
    6. P. Y. Chen and C. Y. Lien, “An efficient edgepreserving algorithm for removal of salt-andpepper noise,” IEEE Signal Process. Lett, vol. 15, pp. 833–836, 2008.
    7. K. K. V. Toh, H. Ibrahim, and M. N. Mahyuddin, “Salt-and-pepper noise detection and reduction using fuzzy switching median filter,” IEEE Trans. Consumer Electron., vol. 54, no. 4, pp. 1956–1961, Nov. 2008.
    8. Kenny Kal Vin Toh,” Noise adaptive fuzzy switching median filter for salt-and-pepper noise

Recent Article