[International Journal] – 70
1. Uttam Khatri and G.-R. Kwon, “Explainable Vision Transformer with Self-Supervised Learning to Predict Alzheimer’s Disease Progression Using 18F-FDG PET,” Bioengineering in MDPI, Vol, 10, Issue 1225, Oct. 2023. (Ack. S3312710, 4299990114316, NRF‐2021R1I1A3050703) [SCIE, 4.6, Journal Rank: JCR-Q2] (https://doi.org/10.3390/bioengineering10101225)
2. Ramesh Kumar Lama and G.-R. Kwon, “Resting-State Functional Connectivity Difference in Alzheimer’s Disease and Mild Cognitive Impairment Using Threshold Free Cluster Enhancement,” Diagnostics in MDPI, Vol.13, Iissue 3074, Oct. 2023. (Ack. S3312710, 4299990114316, NRF‐2021R1I1A3050703) [SCIE, 3.6, Journal Rank: JCR-Q2] (https://doi.org/10.3390/diagnostics13193074)
3. Uttam Khatri, Ji-In Kim and G.-R. Kwon, “Genetics Information with Functional Brain Networks for Dementia Classification,” Mathematics, Vol. 11, Issue 6, 1529, Mar. 2023. (Ack. S3312710, 4299990114316, NRF‐2021R1I1A3050703) [SCIE, 2.592, Rank 6%] (https://doi.org/10.3390/math11061529)
4. Rukesh Prajapati and G.-R. Kwon, “Dissimilarity Corrective Generative Adversarial Network for Brain Image Segmentation,” Applied sciences in MDPI, Vol. 12, Issue 24, pp. 1-13, Dec. 2022. (Ack. S3312710, 4299990114316, NRF‐2021R1I1A3050703) [SCIE, 2.838] (DOI: 10.3390/app122412944)
5. Bijen Khagi and G.-R. Kwon, “A novel Scaled-Gamma-Tanh (SGT) activation function in 3D CNN applied for MRI classification,” Scientific reports, Vol. 12, No. 14978, 1-14, Sept. 2022. (Ack. NRF-2021R1I1A3050703) [SCIE 4.996] (DOI: https://doi.org/10.1038/s41598-022-19020-y)
6. Rukesh Prajapati and G.-R. Kwon, “SIP-UNet: Sequential Inputs Parallel UNet Architecture for segmentation of Brain Tissues from Magnetic Resonance Images,” Mathematics (Section of Computational Intelligence: Theory and Applications), Vol. 10, Issue 15, 2755, Aug. 2022. (Ack. NRF-2021R1I1A3050703, 4299990114316) [SCIE] (DOI: https://doi.org/10.3390/math10152755)
7. Ramesh Kumar Lama, Ji-In Kim, and G.-R. Kwon, “Classification of Alzheimer’s disease based on Core-large Scale Brain Network using Multilayer Extreme Learning Machine,” Mathematics (Section of Probability and Statistics), Vol. 10, Issue 12, 1967, Jun. 2022. (Ack. NRF-2021R1I1A3050703, 4299990114316) [SCIE] (DOI: 10.3390/math10121967)
8. Fazal Ur Rehman Faisal and G.-R. Kwon, “Automated Detection of Alzheimer’s Disease and Mild Cognitive Impairment Using Whole Brain MRI,” IEEE ACCESS, Vol. 10, pp. 65055-65066, Jun. 2022. (Ack. NRF-2021R1I1A3050703, 4299990114316) [SCIE] (DOI: 10.1109/ACCESS.2022.3180073)
9. Uttam Khatri and G.-R. Kwon, “Alzheimer’s Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network with Multi-Measures Features and Hippocampal Subfield and Amygdala Volume of Structural MRI,” Frontiers in Aging neuroscience, Vol. 14, Article 818871, May 2022. (Ack. NRF-2021R1I1A3050703, 4299990114316) [SCIE] (https://doi.org/10.3389/fnagi.2022.818871)
10. Uttam Khatri and G.-R. Kwon, “Classification of Alzheimer’s disease and Mild-cognitive Im-pairment base on High-order Dynamic Functional Connectivity at Different Frequency Band,” Mathematics, Vol. 10, Issue 5, pp. 1-18, Mar. 2022. (Ack. NRF-2021R1I1A3050703, 4299990114316) [SCIE, 2.884 Q1] (https://doi.org/10.3390/math10050805)
11. Bijen Khagi and G.-R. Kwon, “Convolutional Neural Network-Based Natural Image and MRI Classification Using Gaussian Activated Parametric (GAP) Layer,” IEEE ACCESS, Vol. 9, pp. 96930-96947, Jun. 2021. (Ack.NRF‐2019R1A4A1029769, NRF‐2021R1I1A3050703) [SCIE, 3.367] (DOI: 10.1109/ACCESS.2021.3093455)
12. Bijen Khagi, K. H. Lee, K. Y. Choi, J. J. Lee, G.‐R. Kwon, and H.‐D. Yang, “VBM-Based Alzheimer’s Disease Detection from the Region of Interest of T1 MRI with Supportive Gaussian Smoothing and a Bayesian Regularized Neural Network,” Applied sciences in MDPI, Vol. 11, Issue 13, pp. 1-22, Jul. 2021. (Ack.NRF‐2019R1A4A1029769, NRF‐2021R1I1A3050703) [SCIE, 2.679] (DOI: 10.3390/app11136175)
13. Ji-In Kim, Hui-seon Gang, Jae-Young Pyun, Goo-Rak Kwon, “Implementation of QR Code Recognition Technology using Smartphone Camera for Indoor Positioning,” Energy in MDPI, Vol. 14, Issue 10, May 2021. [2.702, SCIE] DOI: https://doi.org/10.3390/en14102759
14. Ramesh Kumar Lama and G.-R. Kwon, “Diagnosis of Alzheimer’s disease using Brain Network,” Frontiers in Neuroscience, Vol. 15, Article 605115, pp. 1-13, Jan. 2021. (Ack. NRF-2019R1A4A1029769) [3.707, SCIE].
15. Bijen Khagi and G.-R. Kwon, “3D CNN design for the classification of Alzheimer’s disease using brain MRI and PET,” IEEE ACCESS, Vol. 8, pp. 217830-217847, Dec. 2020. [SCIE, 3.745] (Ack. (NRF-2019R1F1A1060166, NRF-2019R1A4A1029769) (DOI: 10.1109/ACCESS.2020.3040486)
16. Yubraj Gupta, Ramesh Kumar Lama, Sang-Woong Lee and G.-R. Kwon, “An MRI Brain disease classification using PDFB-CT and GLCM with Kernel-SVM for Medical Decision Support System,” Multimedia Tools and Applications, Vol. 79, Issue 43, pp. 32195 - 32224, Nov. 2020. [SCIE] (Ack. (NRF-2019R1F1A1060166, NRF-2019R1A4A1029769) (DOI: http://link.springer.com/article/10.1007/s11042-020-09676-x)
17. Yubraj Gupta, Ji-In Kim, Byeong Chae Kim and G.-R. Kwon, "Classification and Graphical Analysis of Alzheimer’s Disease and Its Prodromal Stage Using Multimodal Features FromStructural, Diffusion, and Functional Neuroimaging Data and the APOE Genotype," Frontiers in Aging Neuroscience, Vol. 12, Article 238, pp. 1-33, Jul. 2020. (Ack. NRF-2019R1F1A1060166, NRF-2019R1A4A1029769) [4.32, SCIE, 17%], DOI: https://doi.org/10.3389/fnagi.2020.00238
18. Saidjalol Toshkhujaev, Kun Ho Lee, Kyu Yeong Choi, Jang Jae Lee, Goo-Rak Kwon, Yubraj Gupta, Ramesh Kumar Lama, “Classification of Alzheimer’s Disease and Mild Cognitive Impairment Based on Cortical and Subcortical Features from MRI T1 Brain Images Utilizing Four Different Types of Datasets,” Journal of healthcare engineering in Hindawi, Vol. 2020, Article ID 3743171, Sept. 1st, 2020. (Ack. NRF-2019R1A4A1029769 and NRF-2019R1F1A1060166, 20-BR-03-02) [1.803, SCIE], DOI: https://doi.org/10.1155/2020/3743171
19. Uttam Khatri and G.-R. Kwon, “An efficient combination among sMRI, CSF, cognitive score and APoE ε4 biomarkers for classification of AD and MCI using Extreme Learning Machine,” Computational Intelligence and Neuroscience in Hindawi, Vol. 2020, Article ID 8015156, Jun. 2020. (Ack. NRF-2019R1F1A1060166, NRF-2019R1A4A1029769) [2.154, SCIE] DOI: https://doi.org/10.1155/2020/8015156
20. Heon Jeong, G.-R. Kwon and Sang-Woong Lee, “Deterioration Diagnosis of Solar Module Using Thermal and Visible Image Processing,” Energies 2020 in MDPI, Vol. 13, Issue 11, Article 2856, Jun. 2020. [2.707, SCIE] DOI: https://doi.org/10.3390/en13112856
21. Yubraj Gupta, Ramesh Kumar Lama, and G.-R. Kwon, “Prediction and classification of Alzheimer’s disease based on combined features from Apolipoprotein-E genotype, cerebrospinal fluid, MRI, and FDG-PET imaging biomarkers,” Frontiers in Computational Neuroscience, Vol. 13, Article 72, pp. 1-18, Oct. 2019. (Ack. NRF-2019R1F1A1060166, NRF-2019R1A4A1029769) [2.99, SCIE-22%]
22. Yubraj Gupta, Kun Ho Lee, Kyu Yeong Choi, Jang Jae Lee, Byeong Chae Kim, and G.-R. Kwon, “Early classification of Alzheimer’s disease in Korean people using combined features from voxel-based morphometry and cortical, subcortical, and hippocampus regions of MRI T1 brain images,” PLOS one, Vol. 14, No. 10, pp. 1-30, Oct. 2019. (Ack. (NRF-2019R1F1A1060166, NRF-2019R1A4A1029769) [2.776, SCIE] DOI: 10.1371/journal.pone.0222446
23. Nam Thanh Pham, Jong-Weon Lee, G.-R. Kwon, and Chun-Su Park, “Efficient image splicing detection algorithm based on markov features,” Multimedia Tools and Appl., Springer, Vol. 78, Issue 9, pp. 12405-12419, May 2019.
24. Bijen Khagi, G.-R. Kwon, and Ramesh Kumar Lama, “Comparative Analysis of Alzheimer’s disease Classification by CDR level using CNN, Feature Selection and Machine learning techniques,” Int. J. Imaging Syst. Technol., Vol. 29, Issue 3, pp. 1-14, Sept. 2019. (DOI: 10.1002/ima.22316) (Ack. NRF-2014M3C7A1046050, NRF-2017R1A2B4006533) [SCIE]
25. Lata Ayesha Akter, Inkyu Moon, G.-R. Kwon, “Double random phase encoding with a Poisson-multinomial distribution for efficient colorful image authentication,” Multimedia Tools and Appl., Springer, Vol. 78, Issue 11, pp. 14613–14632, Jun. 2019. (No Ack.) (DOI 10.1007/s11042-018-6844-1) [SCIE]
26. Samsuddin Ahmed, Kyu Yeong Choi, Jang Jae Lee, Byeong Chae Kim, G.-R. Kwon, Kun Ho Lee, and Ho Yub Jung, “Ensembles of Patch-Based Classifiers for Diagnosis of Alzheimer Diseases,” IEEE Access, Vol. 7, pp. 73373-73383, May 2019. [SCIE]
27. Yubraj Gupta, Kun Ho Lee, Kyu Yeong Choi, Jang Jae Lee, Byeong Chae Kim, and G.-R. Kwon, “Alzheimer’s Disease Diagnosis Based on Cortical and Subcortical Features,” Journal of Healthcare Engineering, Vol. 2019, Article ID 2492719, Mar. 2019. (DOI 10.1155/2019/2492719) (Ack. NRF-2014M3C7A1046050, NRF-2017R1A2B4006533) [SCIE]
28. Nam Thanh Pham, Jong-Weon Lee, G.-R. Kwon, Chun-Su Park, “Hybrid Image Retrieval Method for Image Splicing Validation,” Symmetry in MDPI, Vol. 11, Issue 1, Jan. 2019. [SCIE]
29. Dibash Basukala, Debesh Jha, and G.-R. Kwon, “Brain image segmentation method based on dual tree complex wavelet transform and fuzzy c-means clustering algorithm,” in Journal of medical imaging and healthcare informatics, Vol. 8, No. 9, pp. 1776-1781, Dec. 2018. (Ack. 2018 Chosun) [SCIE]
30. Bijen Khagi and G.-R. Kwon, “Pixel-label-based Segmentation of cross-sectional Brain MRI using simplified SegNet Architecture based CNN,” Journal of Healthcare engineering in Hindawi, Vol. 2018, Article ID 3640705, Oct. 2018. (Ack. NRF-2014M3C7A1046050, NRF-2017R1A2B4006533) [SCIE]
31. M.-R.Choi, S.-J. Ko, Ramesh Kumar Lama, and G.-R. Kwon, “Color Image Interpolation in the DCT Domain using a Wavelet-based Differential Value,” Multimedia Tools and Appl., Springer, Vol. 77, Issue 16, pp. 21539-21556, Aug. 2018. (No Ack.) (DOI 10.1007/s11042-018-5616-2) [SCIE]
32. Debesh Jha, Saruar Alam, Jae-Young Pyun, Kun Ho Lee, and G.-R. Kwon, “Alzheimer’s Disease Detection Using Extreme Learning Machine, Complex Dual Tree Wavelet Principal Coefficients and Linear Discriminant Analysis,” in Journal of medical imaging and healthcare informatics, Vol. 8, No. 5, pp. 881-890, Jun. 2018. (Ack. NRF-2014M3C7A1046050, NRF-2017R1A2B4006533) [SCIE]
33. Debesh Jha, Ji-In Kim, Bumshik Lee, and G.-R. Kwon, “Efficient cascade model for pathological brain image detection by magnetic resonance imaging,” in Journal of medical imaging and healthcare informatics, Vol. 7, pp. 1744–1752, Dec. 2017. (Ack. NRF-2014M3C7A1046050, NRF-2017R1A2B4006533) [SCIE]
34. Debesh Jha, G.-R. Kwon, Ji-In Kim and Moo-Rak Choi, “Pathological Brain Detection using Weiner filtering, 2D- Discrete Wavelet Transform, Probabilistic PCA and Random Subspace Ensemble Classifier,” Computational Intelligence and Neuroscience in Hindawi, Vol. 2017, pp. 1-11, Oct. 2017. (Ack. NRF-2014M3C7A1046050, NRF-2017R1A2B4006533) [SCIE]
35. Saruar Alam, G.-R. Kwon, Ji-In Kim and Chun-Su Park, “Twin SVM-based classification of Alzheimer’s disease using complex dual tree wavelet principal coefficients and LDA,” Journal of Healthcare engineering in Hindawi, Aug. 2017. (Ack. 2017Chosun, NRF-2014M3C7A1046050) [SCIE]
36. Debesh Jha, G.-R. Kwon and Ji-In Kim, “Diagnosis of Alzheimer’s Disease Using Dual-tree Complex Wavelet Transform, PCA, and Feed-forward Neural Network,” Journal of Healthcare engineering in Hindawi, vol. 2017, Article ID 9060124, 13 pages, May 2017. [SCIE] (Ack. 2017Chosun, NRF-2014M3C7A1046050)
37. Saruar Alam and G.-R. Kwon, “Alzheimer disease classification using KPCA, LDA, Multi-kernel learning SVM,” International Journal of Imaging Systems and Technology, Vol. 27, Issue 2, May 2017. [SCIE] (Ack. 2016 Chosun)
38. Ramesh Kumar Lama, G.-R. Kwon, and Moo-Rak Choi, “Image Interpolation for High-resolution Display Based on the Complex Dual-tree Wavelet Transform and Hidden Markov Model,” Multimedia Tools and Appl., Springer, Vol. 75, Issue 23, pp. 16487-16498, Nov. 2016. [SCIE] (Ack. chosun 2016)
39. Chun-Su Park, Changjae Kim, Jihoon Lee, and G.-R. Kwon, “Rotation and Scale Invariant Upsampled Log-Polar Fourier Descriptor for Copy-Move Forgery Detection,” Multimedia Tools and Appl., Springer, Vol. 75, Issue 23, pp. 16577-16595, Nov. 2016. [SCIE]
40. G.-R. Kwon, Basukala Dibash, Sang-Woong Lee, Kun-Ho Lee, and Moonsoo Kang, “Brain Image Segmentation using a combination of Expectation-Maximization Algorithm and Watershed Transform,” International Journal of Imaging Systems and Technology, Vol. 26, Issue 3, Sept. 2016) [SCIE] (NRF-2014M3C7A1046050)
41. Sung-Hoon Hong, Jae-Won Lee, Ramesh Kumar Lama, and G.-R. Kwon. “Real-Time Face Detection and Phone-to-Face Distance Measuring for Speech Recognition of Multi-modal Interface,” Multimedia Tools and Appl., Springer, Vol. 75, Issue 12, pp. 6717-6735, Jun. 2016. [SCIE] (NRF No.2010-0008974)
42. G.-R. Kwon, Ramesh Kumar Lama, Jae-Young Pyun, and Chun-Su Park, “Multimedia Digital Rights Management based on Selective Encryption for Flexible Business Model,” Multimedia Tools and Appl., Springer, Vol. 75, Issue 12, pp. 6697-6715, Jun.. 2016. [SCIE] (NRF No.2010-0008974)
43. Hui-Seon Gang, G.-R. Kwon, and Jae-Young Pyun, “Network-Aware Reference Frame Control for Error-Resilient H.264/AVC Video Streaming Service,” Mobile Information System in Hindawi, Vol. 2016, No. 90760, pp. 1-12, Apr. 2016. [SCIE]
44. Chun-Su Park, G.-R. Kwon, Jae-Young Pyun, and Changjae Kim, “Temporal correlation based general search strategy for multiple reference frame motion estimation,” SIVip in Springer, Vol. 10, Issue 2, pp. 243-249, Feb. 2016. [SCIE]
45. Changjae Kim, Ayman Habib, Muwook Pyeon, G.-R. Kwon, Jaehoon Jung and Joon Heo, “Segmentation of Planar Surfaces from Laser Scanning Data Using the Magnitude of Normal Position Vector for Adaptive Neighborhoods,” Sensors in MDPI, Vol. 16, Issue 2, pp. 1-30, Jan. 2016. [SCIE]
46. Kiran Thapaliya, Sang-Woong Lee, Jae-Young Pyun, Heon Jeon, and G.-R. Kwon, “An Advanced Segmentation Using Area and Boundary Tracing Technique in Extraction of Lungs Region,” Journal of Central South University of Technology, Vol. 21, no. 10, pp. 3811-3820, Oct. 2014 [SCIE] (NRF-2013M3C7A1073001, NIPA-2013-H0502-13-1094) – Dec. 2014 Erratum publication.
47. Thapaliya Kiran and G.-R. Kwon, “Identification and Extraction of Brain Tumor using Local Statistics of Zernike Moments on MR Images,” International Journal of Imaging Systems and Technology, No. 24, Issue 4, pp.284-292, Nov. 2014. [SCIE] (NRF-2013M3C7A1073001, NIPA-2013-H0502-13-1094)
48. Thapaliya Kiran, Chun-Su Park, Jae-Young Pyun, and G.-R. Kwon, "Level Set Method with Automatic Selective Local Statistics for Brain Tumor Segmentation in MR Images,” Computerized Medical Imaging and Graphics, Elsevier, 37(7-8), pp. 522-537, Oct. 2013. [SCIE]
49. Ramesh Kumar Lama, Seong-Jo Han, and G.-R. Kwon, “SVD based Improved Secret Fragment Visible Mosaic Image Generation for Information Hiding,” Multimedia Tools and Appl., Springer. Feb. 2013. [SCIE]
50. G.-R. Kwon, Ramesh Kumar Lama, Changjae Kim, Jae-Young Pyun, “Parallel-pass architecture for embedded block coding with optimal truncation in JPEG 2000,” Optical Engineering, SPIE, Vol. 96, Issue 3, pp. 070501-1-070501-2, Jul. 2012. [SCI]
51. G.-R. Kwon, Ramesh Kumar Lama, Jae-Young Pyun, and Sang-Woong Lee, "Reduction of Blocking Artifact Based on Edge Information in DCT Coded Images," Optical Engineering, SPIE, Vol. 50, Issue 9, pp. 097403-1--097403-10, Sept. 2011. [SCI]
52. G.-R. Kwon, Chuntao Wang, Shiguo Lian, and Suk-seung Hwang, "Advanced partial encryption using watermarking and scrambling in MP3," Multimedia Tools and Appl., Springer, Mar. 2011. [SCIE]
53. Jae-Young Pyun, DongYou Choi, Sun-Kuk Noh, and G.-R. Kwon, "OFDMA Channel Aware Error-Resilient Mobile Streaming Video Service over Mobile WiMAX ," IEEE Trans. Consumer Electronics, Vol. 1, Issue 1, pp. 68-75, Feb. 2011. [SCI]
54. Anish Prasad Shrestha, Dong-You Choi, G.-R. Kwon, and Seung-Jo Han, “Kerberos based authentication for inter-domain roaming in wireless heterogeneous network,” ScienceDirect - Computers & Mathematics with Applications, vol. 60, Issue 2, pp. 245-255, Jul. 2010. [SCI]
55. Chuntao Wang, Jiangqun NI, Rongyue ZHANG, G.-R. Kwon, and Sung-Jea Ko, “Content-adaptive robust image watermarking with posterior HMM-based detector,” IEICE Trans. Fundamentals, vol. E91-A, no. 8, pp. 1953-1960, Aug. 2008. [SCIE]
56. Jongan Park, Youngan An, Gwangwon Kang, Waqas Rasheed, Seungjin Park, and Goorak Kwon, “Defining a New Feature Set for Content-Based Image Analysis Using Histogram Refinement,” International Journal of Imaging System & Technology, Vol. 16, Issue 3, pp. 86-93, Aug. 2008. [SCIE]
57. G.-R. Kwon, J.-S. Lee, J.-D. Jin, and S.-J. Ko, “Noise-Robust Modulation Identification Method for Adaptive Receiver Based on Software Defined Radio,” IEEE Trans. Consumer Electronics, Vol. 53, Issue 3, pp. 1211-1216, Aug. 2007. [SCI]
58. G.-R. Kwon, J.-M. Chung, S.-J. Nam, and S.-J. Ko, “A Novel Transcoding Technique between EVRC and G.729A for Mobile Multimedia Devices,” IEEE Trans. Consumer Electronics, Vol. 53, Issue 3, pp. 885-890, Aug. 2007. [SCI]
59. G.-R. Kwon, S.-W. Jung, and S.-J. Ko, “An Efficient Watermarking Technique using ADEW and CBWT for Copyright Protection,” CIS2006, Lecture Notes in Artificial Intelligence, vol. 4456, pp. 634-641, Nov. 2006. [SCIE]
60. G.-R. Kwon, K.-H. Lee, S.-J. Nam, and S.-J. Ko, “Intellectual Property Rights Management using Combination Encryption in MPEG-4,” IWDW2006, Lecture Notes in Computer Science, vol. 4283, pp. 188-196, Nov. 2006. [SCIE]
61. G.-R. Kwon, S.-W. Jung, S.-J. Nam, and S.-J. Ko, “Improved Differential Energy Watermarking for Embedding Watermark,” IWDW2006, Lecture Notes in Computer Science, vol. 4283, pp. 377-386, Nov. 2006. [SCIE]
62. G.-R. Kwon, H.-K. Kim, C.-S. Park, Y. Kim, and S.-J. Ko, “Improved POCS-based Deblocking Technique Using Wavelet Transform in Block Coded Image,” PCM2006, Lecture Notes in Computer Science, vol. 4261, pp. 676-685, Nov. 2006. [SCIE]
63. J.-W. Kim, G.-R. Kwon, J.-S. Lee, N.-H. Kim, and S.-J. Ko, “Spatio-Temporal Video Transcoder for Streaming over Mobile Communications Networks,” IEICE Trans. Communications, vol. E89-B, no. 10, pp. 2678-2686, Oct. 2006. [SCI]
64. C. -S. Park, N. -H. Kim, S. -H. Park, G. -R. Kwon, and S. -J. Ko, “Video Transmission Adopting Scalable Video Coding over Time-varying Networks,” IEEE Trans. on Consumer Electronics, vol. 52, Issue 2, pp.689-695, May 2006. [SCI]
65. J.-W. Kim, G.-R. Kwon, N.-H. Kim, A. W. Morales, and S.-J. Ko, “Efficient Video Transcoding Technique for QoS-Based Home Gateway Service,” IEEE Trans. on Consumer Electronics, vol. 52, Issue 1, pp. 129-137, Feb. 2006. [SCI]
66. G.-R. Kwon, T.-Y. Lee, K.-H. Kim, J.-D. Jin, and S.-J. Ko, “Multimedia Digital Right Management using Selective Scrambling for Mobile Handset,” CIS2005, Lecture Notes in Artificial Intelligence, vol. 3802, pp.1098-1103, Dec. 2005. [SCIE]
67. G.-R. Kwon, H.-K. Kim, Y. Kim, and S.-J. Ko, “An Efficient POCS-based Post-processing Technique Using Wavelet Transform in HDTV,” IEEE Trans. on Consumer Electronics, vol. 51, Issue 4, pp. 1283-1290, Nov. 2005. [SCI]
68. J.-S. Lee, G.-R. Kwon, J.-W. Kim, J.-Y. Lee, and S.-J. Ko, “Effective Drift Reduction Technique for Reduced Bit-rate Video Adaptation,” PCM2004, Lecture Notes in Computer Science, vol. 3333, pp. 689-696, Nov. 2004. [SCIE]
69. J.-S. Lee, G.-R. Kwon, J.-W. Kim, K.-H. Lee, and S.-J. Ko, “Residual Motion Coding Method for Error Resilient Transcoding System,” MIPS2004, Lecture Notes in Computer Science, vol. 3311, pp. 165-174, Nov. 2004. [SCIE]
70. J.-S. Lee, G.-R. Kwon, J.-W. Kim, N.-H. Kim, and S.-J. Ko, “An Effective Motion Vector Re-estimation Method for Low Bit-rate Video Transcoding,” Real-time imaging, vol. 10, pp. 325-329, Oct. 2004. [SCIE]