An Appraisal of Diverse Image Augmentation Methodologies
M. S. Sonawane1, C. A. Dhawale2

1Manojkumar Sahebrao Sonawane*, Ph.D., computer science in SGBAU, Maharashtra.
2Dr. Chitra A. Dhawale, Ph.D., computer science in SGBAU, Maharashtra.

Manuscript received on March 28, 2020. | Revised Manuscript received on April 25, 2020. | Manuscript published on April 30, 2020. | PP: 1721-1725 | Volume-9 Issue-4, April 2020. | Retrieval Number: D7955049420/2020©BEIESP | DOI: 10.35940/ijeat.D7955.049420
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (

Abstract: Image augmentation is very significant, challenging methods in image exploration. The intention of augmentation of the image is to expand the graphical image form, or to give a superior renovated illustration for imminent programmed image treating. Various images such as aerial images, images of satellite, medical images, etc., undergo for noise and meager contrast. Therefore, it is obligatory to eliminate the noise and to augment the contrast in order to upsurge image superiority. Among imperative phases in medical images exposure and investigation is an image development practice that develops the worth or lucidity of images for hominoid seeing, eliminating noise and blurring, rise contrast, and enlightening minutiae are cases of enrichment maneuvers. The augmentation practice varies from one arena to another rendering to its purpose. The present methods of image augmentation could be divided into 2 groupings: frequency, spatial domain enrichment. This work offers a brief summary of image augmentation methods in spatial territory. More precisely, paper classifies processing methods centered representative techniques of Image augmentation. Hence an impact of this paper is to categorize and analyze image augmentation methods, effort for evaluation of inadequacies and common desires in an arena of dynamic investigation and at last paper focuses on auspicious information on exploration for image augmentation for imminent study.
Keywords: Image augmentation, spatial, frequency domain, histogram equalization.