국제 저널

C. H. Choi, H. Y. Lee, H. K. Lee, “Estimation of Color Modification in Digital Images by CFA Pattern Change,” Forensic Science International, Vol. 226(1-3), 10 March 2013, pp. 94-105. (SCI = 4.882)


S. J. Ryu, M. Kirchner, M. J. Lee, H. K. Lee, “Rotation Invariant Localization of Duplicated Image Regions Based on Zernike Moments,” IEEE Trans. on Information Forensics and Security, Vol. 8, No. 8(August 2013), pp. 1355-1370. (SCI = 7.178)


D. K. Hyun, S. J. Ryu, H. Y. Lee, H. K. Lee, “Detection of Upscale-Crop and Partial Manipulation in Surveillance Video Based on Sensor Pattern Noise,” Sensors, Vol. 13, No. 9(September 18 2013), 12605-12631. (SCI = 3.576)


J. H. Choi, H. Y. Lee, H. K. Lee, "Color Laser Printer Forensics based on Noisy Feature and Support Vector Machine Classifier," Multimedia Tools and Applications, Vol. 67, No. 2(November, 2013), pp 363-382. (SCI = 2.757)


S. J. Ryu, H. K. Lee, “Estimation of Linear Transformation by Analyzing the Periodicity of Interpolation,” Pattern Recognition Letters, Vol. 36(15 January 2014), pp. 89-99. (SCI = 3.756)


D. G. Kim, H. K. Lee, “Color Laser Printer Identification Using Halftone Texture Fingerprint,” Electronics Letters, Vol. 51, No. 13(25 June 2015), pp. 981-983. (SCI = 1.314)


D. J. Jung, D. K. Hyun, H. K. Lee, “Recaptured Video Detection based on Sensor Pattern Noise,” EURASIP Journal on Image and Video Processing, 3 December 2015, 2015 : 40, DOI 10.1186/s13640-015-0096-z, 1:14. (SCI = 1.789)


J. S. Park, D. K. Hyun, J. U. Hou, D. G. Kim, H. K. Lee, “Detecting Digital Image Forgery in Near-Infrared Image of CCTV,” Multimedia Tools and Applications, Vol. 76, No. 14(July 2017), DOI: 10.1007/s11042-016-3871-7, pp. 15817-15838. (SCI = 2.757)


J. U. Hou, H. K. Lee, “Detection of Hue Modification Using Photo Response on Nonuniformity,” IEEE Trans. on Circuits and Systems for Video Technology, Vol. 27, No. 8(August 2017), pp. 1826-1832. (SCI= 4.685)


H. Y. Choi, D. K. Hyun, S. Choi, H. K. Lee “Enhanced Resampling Detection based on Image Correlation of 3D Stereoscopic Images,” EURASIP Journal on Image and Video Processing, December 2017, 2017:22, DOI: 10.1186/s13640-017-0170-9. (SCI = 1.789)


D. K. Kim, H. U. Jang, S. M. Mun, S. Choi, H. K. Lee, “Median Filtered Image Restoration and Anti-Forensics Using Adversarial Networks,” IEEE Signal Processing Letters, Vol. 25, No. 2(February 2018), pp. 278-282. (SCI = 3.109)


H. U. Jang, H. Y. Choi, J. Son, D. K. Kim, J. U. Hou, S. Choi, H. K. Lee, “Cropping-Resilient 3D Mesh Watermarking based on Consistent Segmentation and Mesh Steganalysis,” Multimedia Tools and Applications, Vol. 77, No. 5(March 2018), pp 5685-5712. (SCI = 2.757)


D. J. Jung, H. K. Lee, “Frame-rate Conversion Detection based on Periodicity of Motion Artifact,” Multimedia Tools and Applications, Vol. 77, No. 5(March 2018), pp. 6095-6116. DOI: 10.1007/s11042-017-4519-y. (SCI = 2.757)


H. K. Kim, J. S. Park, D. K. Kim, H. K. Lee, “Two-stream Neural Networks to Detect Manipulation of JPEG Compressed Images,” Electronics Letters, Vol. 54, No. 6(22 March 2018), pp. 354-355. (SCI = 1.314)


J. S. Park, H. K. Kim, D. K. Kim, I. J. Yu, H. K. Lee, “Paired Mini-batch Training: A New Deep Network Training for Image Forensics and Steganalysis,” Signal Processing - Image Communication, Vol. 67, September 2018, pp. 132-139. (SCI = 3.256)


D. K. Kim, J. U. Hou, H. K. Lee, “Learning Deep Features for Source Color Laser Printer Identification based on Cascaded Learning,” Neurocomputing, Vol. 365, No. 1 (6 November 2019), pp. 219-228. (SCI = 5.719)


W. Ahn, S. H. Nam, M. Son, H. K. Lee, “End-to-End Double JPEG Detection with a 3D Convolution Network in the DCT Domain,” Electronics Letters, Vol. 56, No. 2(23 Jan. 2020), pp. 82-85. (SCI = 1.314)


W. Ahn, H. U. Jang, S. H. Nam, I. J. Yu, H. K. Lee, "Local-Source Enhanced Residual Network for Steganalysis of Digital Images," IEEE ACCESS, Vol. 8, pp. 127477-127490, 03 July 2020. (SCI = 3.367)


I. J. Yu, W. Ahn, S. H. Nam, H. K. Lee, "BitMix : Data Augmentation for Image Steganalysis," Electronics Letters, Vol. 56, No. 24(26 Nov. 2021), Online ISSN 1350-911X(29 October 2020), pp. 1311-1314. (SCI = 1.314)


I. J. Yu., et. al., "Manipulation Classification for JPEG Images Using Multi-Domain Features," IEEE ACCESS, Vol. 8, pp. 210837-210857, 24 July 2020. (SCI = 3.367)


D. H. Kim, W. Ahn, H. K. Lee, "End-to-End Anti-Forensics Network of Single and Double JPEG Detection," IEEE ACCESS, Vol. 9, pp. 13390-13402, 25 Jan. 2021. (SCI = 3.367)


Woogeun Bae, S. H. Nam, I. J. Yu, M. J. Kwon, M. Yoon, and H. K. Lee, "Dual-Path Convolutional Neural Network for Classifying Fine-Grained Manipulations in H.264 Videos," Multimedia Tools and Applications, Vol. 80, pp. 30879-30906, 2021. (SCI = 2.757)


S. H. Nam, W. Ahn, I. J. Yu, M. J. Kwon, M. Son, and H. K. Lee., "Deep Convolutional Neural Network for Identifying Seam-Carving Forgery," IEEE Trans. on Circuits and Systems for Video Technology, Vol. 31, No. 8(August 2021), pp. 3308-3326. (SCI = 4.685)


M. J. Kwon, S. H. Nam, I. J. Yu, H. K. Lee, and C. Kim., "Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization," Springer Nature, Int. J. of Computer Vision, Vo. 130, 25 May 2022(On Line Publication), https://doi.org/10.1007/s11263-022-01617-5. (SCI = 7.410)

M. Yoon., et. al., Frame-rate Up-conversion Detection based on Convolutional Neural Network for Learning Spatiotemporal Features," Forensic Science International, Vol. 340, November 2022, 1:14, (SCI = 2.395).

국제 학술 대회

“Hue Modification Estimation Using Sensor Pattern Noise,” IEEE, Int. Conf. on Image Processing(ICIP’2014), 27-30 Oct. 2014, Paris, France, pp. 5287-5291.


“Detecting Composite Image Manipulation based on Deep Neural Networks,” IEEE & EURASIP, 24th Int. Conf. on Systems, Signals and Image Processing(IWSSIP’2017), 22-24 May 2017, Poland.


“Identifying Photorealistic Computer Graphics using Convolutional Neural Networks,” IEEE Int. Conf. on Image Processing(ICIP’2017), 17-20 September 2017, China, pp. 4093-4097.


“Double JPEG Detection in Mixed JPEG Quality Factors using Deep Convolutional Neural Network,” 2018 European Conf. on Computer Vision(ECCV’2018), 8-14 September 2018, Germany, pp. 656-672.


“Content-Aware Image Resizing Detection Using Deep Neural Network,” IEEE Int. Conf. on Image Processing(ICIP’2019), 22-26 September 2019, Taiwan, pp. 106-110.


“Two-Stream Network for Detecting Double Compression of H.264 Videos,” IEEE Int. Conf. on Image Processing(ICIP’2019), 22-26 September 2019, Taiwan, pp. 111-115. 외 다수