摘要
嵌入式系统具有运行速度低、存储资源有限、数据吞吐量小等弱点,而图像滤波算法要对图像中的每个像素进行处理,数据处理量极大,要保证嵌入式实时图像处理,必须具备快速处理能力,二者之间的矛盾是嵌入式实时系统图像滤波算法设计的最大难点,在低速嵌入式实时系统上实现的高效图像滤波算法是本研究的重要创新点。在分析了经典图像滤波算法的基础上,总结了经典图像滤波算法的优点和不足,提出了边缘跟随图像滤波算法(Image Filter Algorithms Based Edges,IFABE),IFABE不仅提高了滤波速度,而且还解决了经典滤波算法带来的边缘模糊问题,在图像滤波速度和质量方面都取得了较好的表现。
Embeded systems have a low speed, limited hardware resource, while Image Filtering Algorithms need process large amounts of data, so demand speed up image filtering processing, it is the most difficulties in algorithms design. The classical image filter algorithms have a lot of advantages and weaknesses such as edge blured after pro- cessed. Studied the classical Image Filter algorithms, this paper put forwards a efficient algorithms in image filtering named Image Filter Algorithms Based Edges （IFABE）, which not only developed process degree, but also lessened edge blur obviously, IFABE achieved a high performance in both process quantity and filter quality.
出处
《苏州大学学报（工科版）》
CAS
2010年第1期37-41,共5页
Journal of Soochow University Engineering Science Edition (Bimonthly)
