南阳理工学院学报
南暘理工學院學報
남양리공학원학보
Journal of Nanyang Institute of Technology
2015年
4期
53-56,73
,共5页
Contourlet变换%图像去噪%阈值%粒子群优化
Contourlet變換%圖像去譟%閾值%粒子群優化
Contourlet변환%도상거조%역치%입자군우화
Contourlet transform%image denoising%threshold%PSO
本文研究了Contourlet变换域图像阈值去噪问题,提出了一种在Contourlet变换域改进的阈值去噪方法.该方法结合Contourlet变换能更加突出图像的边缘信息和方向信息的优势,在Contourlet变换域利用粒子群优化算法( PSO)迭代寻优找到最优阈值,以峰值信噪比PSNR的函数模型作为PSO的适应度函数,并且利用硬阈值函数规则对图像处理. 实验结果表明,本文优化阈值的选取不仅更有利于保留图像的细节信息,还使得图像有着明显的去噪效果,峰值信噪比PSNR值得到提高.
本文研究瞭Contourlet變換域圖像閾值去譟問題,提齣瞭一種在Contourlet變換域改進的閾值去譟方法.該方法結閤Contourlet變換能更加突齣圖像的邊緣信息和方嚮信息的優勢,在Contourlet變換域利用粒子群優化算法( PSO)迭代尋優找到最優閾值,以峰值信譟比PSNR的函數模型作為PSO的適應度函數,併且利用硬閾值函數規則對圖像處理. 實驗結果錶明,本文優化閾值的選取不僅更有利于保留圖像的細節信息,還使得圖像有著明顯的去譟效果,峰值信譟比PSNR值得到提高.
본문연구료Contourlet변환역도상역치거조문제,제출료일충재Contourlet변환역개진적역치거조방법.해방법결합Contourlet변환능경가돌출도상적변연신식화방향신식적우세,재Contourlet변환역이용입자군우화산법( PSO)질대심우조도최우역치,이봉치신조비PSNR적함수모형작위PSO적괄응도함수,병차이용경역치함수규칙대도상처리. 실험결과표명,본문우화역치적선취불부경유리우보류도상적세절신식,환사득도상유착명현적거조효과,봉치신조비PSNR치득도제고.
This paper studies the threshold problems for image denoising in Contourlet domain, and put forward an improved threshold denoising method . Combined with the advantage that Contourlet transform can protect image edge information and direction informa-tionpreferably, this paper uses particle swarm optimization PSO for iteration optimization to find the optimal threshold in Contourlet do-main, takes the function model peak signal-to-noise ratio PSNR as fitness function of PSO, and uses hard threshold function rules for image processing. The experimental results show that the selection of optimal threshold not only is more advantageous to keep the details of image, also makes the image has obvious denoising effect, and peak signal-to-noise ratio PSNR is improved.