光电工程
光電工程
광전공정
OPTO-ELECTRONIC ENGINEERING
2015年
1期
45-50
,共6页
超分辨率%正则化%自回归%滤波器先验
超分辨率%正則化%自迴歸%濾波器先驗
초분변솔%정칙화%자회귀%려파기선험
super-resolution%regularization%autoregression%filters prior
为了抑制超分辨图像重建过程中的振铃锯齿效应，本文提出一种多正则化形式的超分辨率重建算法。文章首先给出了图像降质模型并推导出了图像重构约束项。利用重构项直接对低分辨率图像进行重建，获得的高分辨图像会有锯齿和振铃效应。针对此问题，本文利用自回归模型和滤波器组先验来正则化重建过程。自回归模型用来恢复图像局部细节描述，与此同时本文利用自然图像块的聚类集来估计自适应自回归模型参数。滤波器组先验用来约束重建图像的边缘，使得获取的高分辨率的图像边缘更加锐利。最后通过实验定性与定量的分析，证实了本文算法优于其他具有竞争力的算法。
為瞭抑製超分辨圖像重建過程中的振鈴鋸齒效應，本文提齣一種多正則化形式的超分辨率重建算法。文章首先給齣瞭圖像降質模型併推導齣瞭圖像重構約束項。利用重構項直接對低分辨率圖像進行重建，穫得的高分辨圖像會有鋸齒和振鈴效應。針對此問題，本文利用自迴歸模型和濾波器組先驗來正則化重建過程。自迴歸模型用來恢複圖像跼部細節描述，與此同時本文利用自然圖像塊的聚類集來估計自適應自迴歸模型參數。濾波器組先驗用來約束重建圖像的邊緣，使得穫取的高分辨率的圖像邊緣更加銳利。最後通過實驗定性與定量的分析，證實瞭本文算法優于其他具有競爭力的算法。
위료억제초분변도상중건과정중적진령거치효응，본문제출일충다정칙화형식적초분변솔중건산법。문장수선급출료도상강질모형병추도출료도상중구약속항。이용중구항직접대저분변솔도상진행중건，획득적고분변도상회유거치화진령효응。침대차문제，본문이용자회귀모형화려파기조선험래정칙화중건과정。자회귀모형용래회복도상국부세절묘술，여차동시본문이용자연도상괴적취류집래고계자괄응자회귀모형삼수。려파기조선험용래약속중건도상적변연，사득획취적고분변솔적도상변연경가예리。최후통과실험정성여정량적분석，증실료본문산법우우기타구유경쟁력적산법。
In order to suppress the ringing and jaggy artifacts during the super-resolution image reconstruction process, an image super-resolution algorithm with multiple regularized terms is proposed. Firstly, the image degradation model is given and the image reconstruction constraint item is analytically derived. The high-resolution image can be generated by using the reconstruction constraint item, which will have jaggy and ringing artifacts. In order to solve this problem, the autoregression model and filters prior are invented to regularize the reconstruction process. The autoregression model is used to restore the local image details and the adaptive parameters of the autoregression model can be generated through the natural cluster sets. Meanwhile, the filters prior are used to force the edges of high-resolution image to be sharp. Finally, the experimental results show that our algorithm outperforms other competing algorithms in terms of both quantity and quality.
