Image And Image Of Image Enhancement

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CHAPTER 1 INTRODUCTION Image processing refers to the construction of an image for further analysis and use. Image taken by a camera or same techniques are not actual in a form that can be used by image analysis process. The technique involves in image enhancement need to be simplified, enhanced, filtered, altered, segmented or need improvement to reducing noise, etc. Image processing is the collection of routines and techniques that alter, improve, enhance or simplify an image. Image enhancement is one of the important parts of digital image processing where image undergo for visual inspection or for machine analysis without knowledge of its source of degradation. The processes involve to bring out specific application of an image so that the result is more suitable that the original image. Image can be enhanced in various ways such as contrast enhancement, intensity, density slicing, edge enhancement, removal of noise, and saturation transformation.[1] Over several past years, contrast image enhancement has generated across many applications like robot sensing, electronic products, fault detection, medical image analysis, etc. Thus, increasing in popularity of contrast enhancement of images has forces researchers to study their enhancement techniques and their effectiveness for the interpretability or perception of human viewers. Contrast enhancement is a vital part of various fields, such as X-ray image analysis, biomedical image analysis, machine vision where pixel
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