關鍵字查詢 | 類別:期刊論文 | | 關鍵字:Approximate Detection Method for Image Up-Sampling

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序號 學年期 教師動態
1 102/2 資工系 凃瀞珽 副教授 期刊論文 發佈 Approximate Detection Method for Image Up-Sampling , [102-2] :Approximate Detection Method for Image Up-Sampling期刊論文Approximate Detection Method for Image Up-SamplingChing-Ting Tu; Hwei-Jen Lin; Fu-Wen Yang; Hsiao-Wei Changimage forgery;copy-move;resampling rate;resampling factorzeroing maskKSII Transactions on Internet & Information Systems 8(2), p.462-482This paper proposes a new resampling detection method for images that detects whether an image has been resampled and recovers the corresponding resampling rate. The proposed method uses a given set of zeroing masks for various resampling factors to evaluate the convolution values of the input image with the zeroing masks. Improving upon our previous work, the proposed method detects more resampling factors by checking for some periodicity with an approximate detection mechanism. The experimental results demonstrate that the proposed method is effective and efficient.en1976-7277國外0KOR
2 102/1 資工系 林慧珍 教授 期刊論文 發佈 Approximate Detection Method for Image Up-Sampling , [102-1] :Approximate Detection Method for Image Up-Sampling期刊論文Approximate Detection Method for Image Up-SamplingTu, Ching-Ting; Lin, Hwei-Jen; Yang, Fu-Wen; Chang, Hsiao-Wei淡江大學資訊工程學系image forgery;copy-move;resampling rate;resampling factor;zeroing maskSeoul: Korean Society for Internet InformationKSII Transactions on Internet and Information Systems 8(2), pp.462-482This paper proposes a new resampling detection method for images that detects whether an image has been resampled and recovers the corresponding resampling rate. The proposed method uses a given set of zeroing masks for various resampling factors to evaluate the convolution values of the input image with the zeroing masks. Improving upon our previous work, the proposed method detects more resampling factors by checking for some periodicity with an approximate detection mechanism. The experimental results demonstrate that the proposed method is effective and efficient.2014-05-05 補正完成 by 郁欣;Made available in DSpace on 2014-03-1
3 102/2 資工系 林慧珍 教授 期刊論文 發佈 Approximate Detection Method for Image Up-Sampling , [102-2] :Approximate Detection Method for Image Up-Sampling期刊論文Approximate Detection Method for Image Up-SamplingTu, Ching-Ting; Lin, Hwei-Jen; Yang, Fu-Wen; Chang, Hsiao-Wei淡江大學資訊工程學系biometric recognition; iris recognitionBantul: Institute of Advanced Engineering and Science (I A E S)KSII Transactions on Internet and Information Systems 8(2), pp.462-482In this paper we propose an iris recognition system to distinguish the identity of a person using the rich iris texture feature. To effectively remove noise and precisely segment the stable iris region is a crucial stage prior to recognition. Most noises on iris images are caused by occlusion of eyelids or eyelashes in certain areas. In this paper, we propose an iris recognition system which precisely locates and segments iris regions. We extract the iris feature from a relatively reliable portion of the iris region using a DoG filter. Experimental results show that the proposed iris recognition system has satisfactory results in terms of time e
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