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M.Tech / M.E / PhD Thesis | Electronics & Communication Engineering | India | Volume 6 Issue 12, December 2017

Image Enhancement of Underexposed and Overexposed Images using Tanlog Technique

Varsha ^[82] | Manju Mathur

Abstract: Now a days applications require various kinds of images as sources of information for interpretation and inspection. Image enhancement is technique of put on altered modifications to an input image to create the subsequent image more attractive or to deliver an improved renovate production for upcoming automated image processing techniques. Image enhancement of any underexposed or overexposed image are critically crucial to fetch the information as extracting information is very difficult and sometimes this information is completely lost. There have been few papers which discusses the image enhancement algorithms using the fusion technique of underexposed and overexposed images. However the demand of overexposed and underexposed images might be difficult or sometimes it may be impossible to gather such images for exact same frame. In this paper an algorithm has been proposed which uses either overexposed image or underexposed image and still improves the quality of the image. Algorithm will work on spatial domain operation and frequency domain operation as well.

Keywords: Tanlog Equation, Median filter, Gamma correction, Histogram Equalisation, Homomorphic Filter, CDF

Edition: Volume 6 Issue 12, December 2017,

Pages: 667 - 675

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