Image filtering is considered as one of the procedure to remove the noise in order to improve the digital images for various applications. The main intention of filtering the image is to obtain the processed image so that the resultant image will be quite applicable for a precise application when compared with the original image. This paper addresses the various Image processing applications and filtering techniques that suits for the health care domain to check for some major disease in human being. In order to obtain the objective, smoothing and sharpening of the image must be done.  In this paper, the Ideal, Gaussian and Butterworth high pass and low pass filtering are applied on images. In this work different recent image filtering methods are compared based on certain factors.

Keywords: Fourier Transform, Ideal filter, Gaussian Filter, Butterworth Filter.