Abstract: Low contrast and poor quality images are the main problems in the medical field. Wavelet transform based techniques are of greater interest because of their performance over Fourier and other spatial domain techniques. By using the wavelet transforms using Haar wavelet followed by the Laplacian operator to obtain the sharpened image gives a novel method for medical image enhancement. First, a medical image is decomposed with wavelet transform. Secondly, all high-frequency sub-images were decomposed with Haar transform. The contrast of the image is adjusted by linear contrast enhancement approaches. Filters are applied to identify the edges. Finally, the enhanced image was obtained by subtracting resulting image from the original image. Experiments showed that this method can not only enhance an image’s details but can also preserve its edge features effectively.