A parameterizable digital-approximated 2D Gaussian smoothing filter for edge detection in noisy image
Pei‐Yung Hsiao, Chia-Hsiung Chen, Shin-Shian Chou, Le-Tien Li, Sao‐Jie Chen · 2006
This paper describes a 5/spl times/5 window-based, power-of-two approximation algorithm for 2D Gaussian smoothing filter and its generic hardware reference design. With a small change in standard deviation /spl sigma/, the Gaussian smoothing filter is able to provide different levels of smoothing and noise reduction capability, which is highly desirable in the early stage of an image processing flow. By using power-of-two terms, the digital-approximated 2D Gaussian filter can be implemented by simple hardware shifters. A hardware reference design is also proposed to achieve such functionality. Experiments in using the proposed filter with an existing edge detection algorithm show the flexibility and effectiveness of the proposed smoothing mask. The synthesized hardware of such combination shows a 200MHz high operating frequency under UMC 0.18/spl mu/m technology, which proves the proposed filter is able to achieve the real-time high frame-rate and high-resolution video processing requirements.