电子设计工程
電子設計工程
전자설계공정
ELECTRONIC DESIGN ENGINEERING
2014年
18期
169-171,175
,共4页
图像复原%正则化%自适应%迭代
圖像複原%正則化%自適應%迭代
도상복원%정칙화%자괄응%질대
image restoration%regularization%adaptive%iterative
针对降质图像的复原问题，在正则化技术解决病态性基础上提出了一种有效的自适应图像复原算法。该方法充分考虑了图像的局部特性，引入了自适应加权矩阵，采用迭代的方法改善算法的收敛性，计算中给予复原图像一定的限制。计算机仿真结果表明，该方法可有效克服模糊退化并再现了原始图像的重要信息，复原图像在峰值信噪比和主观视觉效果方面都有明显的提高。
針對降質圖像的複原問題，在正則化技術解決病態性基礎上提齣瞭一種有效的自適應圖像複原算法。該方法充分攷慮瞭圖像的跼部特性，引入瞭自適應加權矩陣，採用迭代的方法改善算法的收斂性，計算中給予複原圖像一定的限製。計算機倣真結果錶明，該方法可有效剋服模糊退化併再現瞭原始圖像的重要信息，複原圖像在峰值信譟比和主觀視覺效果方麵都有明顯的提高。
침대강질도상적복원문제，재정칙화기술해결병태성기출상제출료일충유효적자괄응도상복원산법。해방법충분고필료도상적국부특성，인입료자괄응가권구진，채용질대적방법개선산법적수렴성，계산중급여복원도상일정적한제。계산궤방진결과표명，해방법가유효극복모호퇴화병재현료원시도상적중요신식，복원도상재봉치신조비화주관시각효과방면도유명현적제고。
Aiming at the restoration of degraded image, an effective adaptive approach to image restoration was proposed based on regularization technology for dealing with ill-posed problems. This method gave full consideration to local characteristic of the image,introduced adaptive weighted matrices,and adopted iterative algorithm to improve convergence. And the restored image was limited in the computation. Computer simulations showed that this proposed method could effectively overcome the blurring degradation and properly retrieve the main information of original image,and the PSNR (peak signal to noise ratio) and subjective visual effect of the restored image were improved significantly.
