The paper introduces an interactive, computer-assisted framework for creating digital photomontages, combining multiple photographs into a single composite image. The framework uses graph-cut optimization to find optimal seams between images and gradient-domain fusion to reduce artifacts. Users can specify high-level image objectives, either globally or locally through a painting interface, to guide the optimization process. The system is designed to handle various applications, including selective composites, extended depth of field, relighting, stroboscopic visualization, time-lapse mosaics, panoramic stitching, clean-plate production, and more. The authors demonstrate the effectiveness of their framework through a series of examples and discuss future research directions, such as exploring new image stacks and objectives, and applying the framework to other types of data.The paper introduces an interactive, computer-assisted framework for creating digital photomontages, combining multiple photographs into a single composite image. The framework uses graph-cut optimization to find optimal seams between images and gradient-domain fusion to reduce artifacts. Users can specify high-level image objectives, either globally or locally through a painting interface, to guide the optimization process. The system is designed to handle various applications, including selective composites, extended depth of field, relighting, stroboscopic visualization, time-lapse mosaics, panoramic stitching, clean-plate production, and more. The authors demonstrate the effectiveness of their framework through a series of examples and discuss future research directions, such as exploring new image stacks and objectives, and applying the framework to other types of data.