2 publications

• Published Subscription 15 Feb 2020

  A Novel Approach of Image Restoration Based on Segmentation and Fuzzy Clustering

  By Siddharth Saxena, Rajeev Kumar Singh

  Abstract: Image restoration is the process of restoring or deblurring an image which had been undergone certain degradations. In this paper, we proposed a method for image restoration based on segmentation and fuzzy clustering. This method consider the similar image pair in which there is a clear part in one image corresponding to degraded one in another. This proposed method firstly partition the image into specified segments and then use fuzzy …

  Published in Recent Trends in Programming languages · Vol. 1, Issue 2, 2014 · pp. 1–6 Read article →

• Published Subscription 8 Jan 2016

  A Novel Blind Restoration Technique Using Different Edge Detection Methods

  By Siddharth Saxena, Rajeev Kumar Singh

  Abstract: Image restoration is a field of image processing in which we recover an original image from a degraded image. Objective of this paper is to compare different blurred and noisy images which are reconstructed with the help of blind deconvolution algorithm using different edge detection methods such as Canny, Sobel, Prewitt, Roberts, Laplacian. Initially original image is blurred using Gaussian filter. After that in the edges of blurred image ringing …

  Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 2, 2014 · pp. 1–5 Read article →