Theory and application of digital image processing. Random fi eld models of images. Sampling, quantization, image compression, enhancement, restoration, segmentation, shape description, reconstruction of pictures from their projections, pattern recognition. Applications include biomedical images, timevarying imagery, robotics, and optics.