A scheme for enhancing local contrast of raw images based on multiscale morphology is presented in this paper. The conventional theoretical concept of local contrast enhancement has been extended in the regime of mathematical morphology. The intensity values of the scale-specific features of the image extracted using multiscale tophat transformation are modified for achieving local contrast enhancement. Locally enhanced features are combined to reconstruct the final image. The proposed algorithm has been executed on a set of raw images for testing its efficacy and the result has been compared with that of other standard methods for getting idea about its relative performance.