Min-Jeong Lee
Computer Vision and Pattern Recognition · 2010
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 7 citations into it; #17,068 of 21,575 by trust here, #20,271 by citations
Whom Min-Jeong Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Min-Jeong Lee overall
Papers from Min-Jeong Lee's perspective
Ordered by how strongly the researchers Min-Jeong Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- Detection of Copy-Move Forgery in Digital Images
- A Sorted Neighborhood Approach for Detecting Duplicated Regions in Image Forgeries Based on DWT and SVD (IEEE International Conference on Multimedia and Expo)
- Detection of copy-move forgery using a method based on blur moment invariants. (Forensic Science International)
- Robust Detection of Region-Duplication Forgery in Digital Image (International Conference on Pattern Recognition)
- Detection of Copy-Move Forgery in Digital Images Using SIFT Algorithm (IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application)
- An efficient and robust method for detecting copy-move forgery (IEEE International Conference on Acoustics, Speech, and Signal Processing)
- Introduction to Information Retrieval
- Invariant image watermark using Zernike moments (IEEE Trans. Circuits Syst. Video Technol.)
- Exposing digital forgeries by detecting traces of resampling
- Detecting Hidden Messages Using Higher-Order Statistics and Support Vector Machines (Information Hiding)
Their papers
- Detection of Copy-Rotate-Move Forgery Using Zernike Moments (2010) — 373 citations