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Implementation of Various Image Processing Techniques

Digital image processing plays a vital role in the analysis and manipulation of sensed data. Digital image processing is always a concern field as it gives improved pictorial information and processing of image data for storage purpose, transmission and illustration for machine perception. Image processing is one of the most important areas of multimedia applications and these applications can be found nearly all over in the present world. Due to which, the number of people functioning with images is rapidly growing so that demand for image processing tools also grows. The image processing mostly deals with image acquisition, Image enhancement, image segmentation, feature extraction, image classification etc. In this paper we acquire an image by image acquisition method, enhance that image, filtering is used for denoising the image as well as for edge preservation of the digital image. This paper also gives the introduction about noises there types, image denoising and about the techniques used for noise removal. Basically, the thought behind the techniques is to fetch out detail that is hidden, or simply to bring to light certain features of interest in an image.



Real Time Impact Factor: Pending

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Keywords: Image Acquisition, Enhancement, Noises, Denoising.

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EISSN: 2320 - 2602


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