A Novel Approach for Removal of Mixed Noise Using Genetic Algorithm
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064



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Research Paper | Computer Science & Engineering | India | Volume 5 Issue 11, November 2016

A Novel Approach for Removal of Mixed Noise Using Genetic Algorithm

Malvika, Harsharndeep Singh

Median filters are favored for removing impulse noise due to their straight forwardness and less computational many-sided quality. In this paper, a new hybrid technique to removing Gaussian, Salt and pepper noise is proposed for colored images. Broad reenactments have been completed on an arrangement of standard low scale pictures and the best in class median filter variations are looked at as far as the outstanding picture quality appraisal measurements in particular mean square errors. Proposed system is evaluated on various parameters like MSE and PSNR. Performance of the proposed system is also compared with the performance of the existing systems and it is evaluated that the proposed system generates improved results than that of existing systems on various images collected from various standard datasets.

Keywords: Image denoising, impulse noise, impulse detector, spatial domain techniques, median filter

Edition: Volume 5 Issue 11, November 2016

Pages: 1836 - 1841

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How to Cite this Article?

Malvika, Harsharndeep Singh, "A Novel Approach for Removal of Mixed Noise Using Genetic Algorithm", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=25111607, Volume 5 Issue 11, November 2016, 1836 - 1841

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