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STUDY OF VARIOUS IMAGE FILTERING TECHNIQUES IN VIDEO PROCESSING SYSTEM
Kamal Kant Verma, Amit Dixit, Brij Mohan Singh

Published in: International Journal of Current Engineering And Scientific Research ( IJCESR)
Volume- 4, Issue-10, pp.1-5, Oct 2017
DPI :-> 16.10046.IJCESR.2017.V4I10.15.2202



Abstract
Quality of a video plays an important role in video processing system for real time video surveillance. Noise always degrades the quality of video or image. Removing noise from a video frame is a challenging task. Noise can be added in the video frame or image during image or video capturing or transmission. Hence the removal of the noise can have good impact on the quality of the video. Many techniques have already been developed in the past for noise removal from the image or video frame. In this paper we present a survey on various image filtering techniques used in the literature. Image or video frame filtering is a crucial part of preprocessing as a first step in computer vision processing. Each filtering technique has its own merits and demerits. The main objective of this paper is to explore the benefits and limits of image filtering techniques

Key-Words / Index Term
Gaussian Filter, Median Filter, wiener filter, denoising, video surveillance etc.

How to cite this article
Kamal Kant Verma, Amit Dixit, Brij Mohan Singh , “STUDY OF VARIOUS IMAGE FILTERING TECHNIQUES IN VIDEO PROCESSING SYSTEM”, International Journal of Current Engineering And Scientific Research ( IJCESR), 4, Issue-10, pp.1-5, Oct 2017. DPI:16.10046.IJCESR.V4.I10.2202