Department of Mathematics
Geisel School of Medicine
Experience suggests the existence of a connection between the contrast of a gray-scale image and the gradient magnitude of intensity edges in the neighborhood where the contrast is measured. This observation motivates the development of edge-based contrast enhancement techniques. We present a simple and effective method for image contrast enhancement based on the multiscale edge representation of images. The contrast of an image can be enhanced simply by stretching or upscaling the multiscale gradient maxima of the image. This method offers flexibility to selectively enhance features of different sizes and ability to control noise magnification. We present some experimental results from enhancing medical images and discuss the advantages of this wavelet approach over other edge-based techniques.
Dartmouth Digital Commons Citation
Lu, Jian; Healy, Dennis M. Jr.; and Weaver, John B., "Contrast Enhancement of Medical Images using Multiscale Edge Representation" (1994). Open Dartmouth: Published works by Dartmouth faculty. 3701.