This paper presents a design methodology suitable for the cost-effective and real-time implementation of nonlinear image processing algorithms. Starting from high-level functional descriptions the proposed optimization flow simplifies the designer's duty to achieve a low complexity and low power realization in CMOS technology (FPGA and/or ASIC) with low accuracy loss for the implemented algorithm. As an application case study the paper describes the design of a system, based on a Retinex-like algorithm, to improve the visual quality of images acquired in bad lighting conditions
This paper presents an Application Specific Instruction Set Processor (ASIP) design for the implementation of a class of nonlinear image processing algorithms, the Retinex-like filters. Starting from high level descriptions, first algorithmic optimization is accomplished. Then a processor architecture and an instruction set are customized with special respect to the algorithmic computations in order to achieve the specified timing at reasonable complexity. Taking advantage of the programmability of processor architectures, the flexibility of the system is increased, involving e.g. dynamic parameter adjustment and color treatment. ASIP implementation results in 0.13 μm CMOS technology are presented
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