Work place: Dept. of Electronics Engineering, Harcourt Butler Technical University, Kanpur, 208002, India
Research Interests: Image Processing, Computer Graphics and Visualization, Computational Learning Theory, Computer systems and computational processes
Vipul Goel was born in Baghpat district, Uttar Pradesh, India. He has completed his Bachelor of Technology degree in Electronics and Communication Engineering from Aryabhatt College affiliated to Uttar Pradesh Technical University, Uttar Pradesh, India. He is currently pursuing his Master of Technology degree in Electronics and Communication from Harcourt Butler Technical University, Kanpur, Uttar Pradesh, India. His research interests include image and video processing, machine learning and computer vision.
DOI: https://doi.org/10.5815/ijigsp.2018.01.06, Pub. Date: 8 Jan. 2018
For the past recent decades, image denoising has been analyzed in many fields such as computer vision, statistical signal and image processing. It facilitates an appropriate base for the analysis of natural image models and signal separation algorithms. Moreover, it also turns into an essential part to the digital image acquiring systems to improve qualities of an image. These two directions are vital and will be examined in this work. Noise and Blurring of images are two degrading factors and when an image is corrupted with both blurring and mixed noises, de-noising and de-blurring of the image is very difficult. In this paper, Gauss-Total Variation model (G-TV model) and Gaussian Mixture-Total Variation Model (GM-TV Model) are discussed and results are presented. It is shown that blurring of the image is completely removed using G-TV model; however, image corrupted with blurring and mixed noise can be recovered with GM-TV model.[...] Read more.
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