Design And Implementation Of A Low-Cost Guided Image Filter For Underwater Image Enhancement

2017 IEEE CONFERENCE ON DEPENDABLE AND SECURE COMPUTING(2017)

引用 5|浏览1
暂无评分
摘要
To enhance the visual quality, guided image filter is usually adopted to refine the crude transmission map of underwater images. In this paper, we first develop a simplified guided image filter to reduce the computational complexity of transmission estimation while maintaining good visual quality. Subsequently, a low-cost architecture for the simplified guided image filter is proposed to achieve real-time Full-HD (1920 x 1080) underwater image enhancement. The proposed architecture is synthesized with TSMC 90nm CMOS technology and the result shows that it can operate at 100MHz and support Full-HD image enhancement at a throughput of 30frame/s with 10.5K gate counts and 1.35KB on-chip memory. Compared to previous design, the proposed design uses 11.3% of gate counts and 42.2% of on-chip memory to achieve the same frame rate.
更多
查看译文
关键词
underwater image enhancement, guided image filter, low-cost architecture
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要