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Adaptive Image Resizing using Edge Contrasting

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Adaptive Image Resizing using Edge Contrasting


Mohd Sadiq Abdul Aziz | Dr. Bharti Chourasia



Mohd Sadiq Abdul Aziz | Dr. Bharti Chourasia "Adaptive Image Resizing using Edge Contrasting" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6, October 2020, pp.1711-1716, URL: https://www.ijtsrd.com/papers/ijtsrd35789.pdf

Zooming is an important image processing operation. It can be termed as the process of enlarging or magnifying the image to a given factor. Indiscriminate application of a function to an image in order to resample it, produces aliasing, edge blurring. So the objective is to reduce these artifacts.This paper considers distinctive interpolation systems identified with versatile techniques with innate abilities to ensure sharp edges and subtleties. It is a versatile resampling calculation for zooming up pictures In this work, a versatile edge improvement procedure is proposed for two-dimensional (2-D) picture scaling application. The foreseen picture scaling calculation comprises of an edge identifier, bilinear interpolation and Sobel filter. The bilinear interpolation characterizes the power of the scaled pixel with the weighted normal of the four neighboring pixels, inserted pictures become smooth and loss of edge data. The versatile edge upgrade procedure is utilized to secure the edge includes successfully, to accomplish better picture quality and to dodge the edge data. The Sobel filter endeavors to decrease the commotion, in obscured and mutilated edges which is delivered by bilinear interpolation. A mathematical control and equipment sharing strategy are utilized to lessen registering asset of the bilinear interpolation. The examination shows that edges are very much safeguarded and interpolation artifacts (obscuring, jaggies) are decreased To contrast existing algorithms and proposed strategy calculation, we have taken original pictures and results for discussion. And we have gone to the choice that proposed calculation is superior to the current algorithms. We have looked at the images by two different ways – Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR).

Image resizing, Interpolation, Image blurring, Image zooming


IJTSRD35789
Volume-4 | Issue-6, October 2020
1711-1716
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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