计算机工程2013，Vol.39Issue(1)：244-247,4.DOI:10.3969/j.issn.1000-3428.2013.01.053
基于量子理论的图像中值滤波
Image Median Filtering Based on Quantum Theory
摘要
Abstract
In traditional image median filtering algrithm, two key factors that can effect the denoising power of this filter, namely fixed order window and unconditional median operations. Aiming at this problem, this paper proposes an improved algorithm. The pseudo-quantized representation of digital image is put forward through using quantum theory and an adaptive mechanism is introduced by means of quantum Hadamard transform, so that the size and shape of the order windows can be automatically adjusted according to the local characteristics of the image. Furthermore, a conditional median algorithm is also introduced to preserves image details as much as possible in the denoising. Simulation results show that the proposed algorithm has stronger ability to filter noise and preserve significant image details simultaneously compared with the traditional median filtering algorithm and recursion median filtering algorithm. Another advantage of the proposed improved median filtering algorithm is not sensitive to the strength of the noise, it means that the effection of strength of noise to filtering is very small.关键词
中值滤波/自适应滤波/量子衍生算法/伪量子化图像/哈达玛变换/条件中值运算Key words
median filtering/ adaptive filtering/ quantum-inspired algorithm/ pseudo-quantized image/ Hadamard transform/ conditional median operation分类
信息技术与安全科学引用本文复制引用
谢可夫,许悟生..基于量子理论的图像中值滤波[J].计算机工程,2013,39(1):244-247,4.基金项目
湖南省自然科学基金资助项目(12JJ3071) （12JJ3071）
