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Comparison Review-Various X-Ray image enhancement methodologies
Various image enhancement techniques are being used for the medico-diagnostic purposes. These techniques are necessary for the feature extraction or minutiae specification in the particular images. The need is to enhance the contrast and removal of the noise and blurring effect from an image. Low- contrast structures can be found in many real time images such as x-ray images. For highlighting the precise and trivial details in a image, we need to apply carefully certain algorithms and filters on it. In this paper I have compared various algorithms with respect to the x-ray system to find which is most performance efficient and gives perceptual image of damaged bones. The objective is to compare the contrast enhancement capabilities of various filters on a single x-ray image.
Keywords
Contrast Limited Adaptive Histogram Equalization, Adaptive Histogram Equalization, Discrete Wavelet Transform, Mean Square Error.
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