Effective Detection for Linear Up-Sampling by a Factor of Fraction
Autor: | Chun-Wei Wang, Yi Chun Pai, Hwei-Jen Lin, Yang Ta Kao |
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Rok vydání: | 2012 |
Předmět: |
Image sampling
Mathematical optimization Reproducibility of Results Signal Processing Computer-Assisted Image Enhancement Sensitivity and Specificity Computer Graphics and Computer-Aided Design Matrix (mathematics) Sampling (signal processing) Matrix algebra Sample Size Subtraction Technique Resampling Factor (programming language) Image Interpretation Computer-Assisted Linear Models Effective method Fraction (mathematics) computer Algorithm Algorithms Software computer.programming_language Mathematics |
Zdroj: | IEEE Transactions on Image Processing. 21:3443-3453 |
ISSN: | 1941-0042 1057-7149 |
DOI: | 10.1109/tip.2012.2191562 |
Popis: | In this study, we propose an effective method for detecting linear up-sampling in images. Our method includes three parts. First, we present an algorithm Resampling Matrix Construction (RMC) that automatically derives the resampling matrix for any given resampling factor of fraction. Second, we show an algorithm Zeroing Mask Derivation (ZMD) that constructs a zeroing mask for the resampling by produced by the proposed algorithm. Lastly, we propose an algorithm Up-sampling Detection (UD) that detects the up-sampling in images using the zeroing masks in a specific order. Compared with existing methods, the proposed method for up-sampling detection can not only effectively detect resampling by any fraction but can also recover the up-sampling fraction. Preliminary experimental results show that the proposed method is indeed effective. |
Databáze: | OpenAIRE |
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