International Journal of Advance Computational Engineering and Networking (IJACEN)
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Statistics report
Aug. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 88
Paper Published : 1238
No. of Authors : 3111
  Journal Paper

Paper Title
A Review Of Image Enhancement Technique Based On Wavelet Threshold And Neural Network

Abstract
Image enhancement plays an important role in computer vision. The degraded image, blurred image and noised image effect the medical diagnosis of image data, satellite image for information retrieval. Various authors and researcher propose a method of image enhancement such as histogram equalization, multi-point histogram equalisation and some method based on neural network and wavelet threshold. Wavelet is very important transform function for image enhancement. Wavelet transform function decomposed layer wise one layer is called details layer and another layer is called approximation layer. The details layer acts as threshold function and approximate layer is processing of image enhancement. For the processing of neural network used approximate layer data. The use of neural network in image enhancement gives a better performance in compression of all conventional enhancement technique. In this paper we discuss the image en enhancement based on neural network and wavelet transform function processing.


Author - Shobhit Verma, Hitesh Gupta

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| Published on 2014-01-17
   
   
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