• Neetesh Raghuwanshi
• Dr Bharti Chourasia

many times Images are contaminated by noise during image acquisition and transmission and we get the low-quality images as resultant image. Thus, removing of noise before using the images for subsequent analysis tasks is essential process. In this paper, different image denoising algorithms are discussed for salt & pepper noise. Salt & pepper noise is known as impulse noise which is scattered throughout the image. This noise can be caused by sharp and abrupt disturbances in the image signal. It presents itself as sparsely occurring white and black pixels. Image denoising algorithms are applied to the captured image data and detach the noise, thus preserve the integrity of fine image structure. In this paper, various denoising algorithms are discussed and compared and we found that the improved median filter is effective noise reduction method and it gives better image visual quality for any images affected by salt and pepper noise. In short, filter approach uses a noisy portion as the basic unit, a modified median method to optimize the repair dataset as well as obtain a better denoising effect, and provides a guideline for future denoising and repair methods.

Salt & pepper, Median filter, PSNR, MSE, denoising, impulse noise, mean, median, image processing

"Computational Efficient Technique for Denoising of Salt and Pepper Noise", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.1196-1203, April 2019, Available :http://www.jetir.org/papers/JETIR1904R76.pdf

"Computational Efficient Technique for Denoising of Salt and Pepper Noise", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp1196-1203, April 2019, Available at : http://www.jetir.org/papers/JETIR1904R76.pdf