Contrast enhancement and smoothing of CT images for diagnosis

Medical sciences currently rely on the imaging technology and post processing of these medical images in order to diagnose the diseases. The acquisition of such images may get affected by inherent noise which can lead to false perception of the diagnostic image. To perceive these images correctly the effective image enhancement techniques are the foremost requirement to improve the quality and level of perception. In this paper we apply various image enhancement techniques on CT images. Resultant images are inspected visually by radiologists for performance evaluation. Median filter removes noise and smoothen CT images effectively and outperforms other Filtering techniques. While as adaptive histogram equalization enhances the contrast and outperforms other contrast enhancement techniques.