Real-time image enhancement systems require benchmarking speed and robustness. These systems also require extensive post-processing of the acquired images in order to improve the visibility or detect ability of the image features. These systems do not produce good visual quality image that thwart the absolute diagnosis of a feature. In this paper, we propose single stage pipelined very large scale integration (VLSI) architectures of the adaptive image enhancement algorithms. A resource efficient (encapsulating three adaptive image enhancement algorithms together) image enhancement processor architecture is also presented here. The analysis of resource and delay optimization is included here in this work. A comparison of the hardware and operating speed of the proposed architectures is also included in this paper. It is illustrated that the proposed architectures can easily be embedded on the existing imaging sensing system and hence improves the versatility and throughput of the system significantly.

Abstract