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