Light microscopes can now capture data in five dimensions at very high frame rates producing terabytes of data per experiment. Five dimensional data has three spatial dimensions (x,y,z), multiple channels (xcexbb) and time (t). Current tools are prohibitively time consuming and do not efficiently utilize available hardware. The Hydra Image Processor (HIP) is a new library providing hardware-accelerated image processing accessible from interpreted languages including MATLAB and Python. HIP automatically distributes data/computation across system and video RAM allowing hardware-accelerated processing of arbitrarily large images. HIP also partitions compute tasks optimally across multiple GPUs. HIP includes a new kernel renormalization reducing boundary effects associated with widely-used padding approaches.