The objective of this research was to build a reprogrammable computational imager utilizing on-chip analog computations for the purpose of studying the capabilities of integrated sensing and processing.Unlike conventional imaging systems, which acquire image data andperform calculations on it, this system tightly integrates the computationand sensing into one process. This allows the exploration of intelligentand efficient sensory and processing. The IC architecture and circuit designshave focused on wide dynamic range signals. The fundamental computationperformed is a separable two-dimensional transform. This allows variousoperations, including block transformations and separable convolutions. The operationsare reprogramable and utilize analog memory and processing along withdigital control. The random access to both the image plane and thecomputational operations allows for intraframe transform variations creating a hardware foundation for dynamic sampling and computation. One can also capture scenes with non-uniform resolution. Advantages, including utilization offeedback from processing to sensing and extensions of the technology including supportfor wavelets and larger transforms are also explored.
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Development of a computational image sensor with applicationsin integrated sensing and processing