We propose a new model to represent quasi-flat objects, such as coins or amphora stamps. These objects are flat surfaces, meaning their length and their width largely exceed their height, and feature a distinctive relief. This relief characterizes the object and its perception is directly influenced by the position of the object, the light direction and the viewer’s direction. Our model is a single image representation containing the underlying structural variations of the object. This model, that we call “Multi-Light Energy Map”, is constructed out of several classic images taken with several illumination directions without computing the object’s surface normals. We found a way to extract useful information out of this sequence of images and compile it into our map. We eventually explain how we can use this model in the case of image registration of ancient coins.