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2020 – today
- 2022
[j83]Seung Ho Park
, Young-Su Moon, Nam Ik Cho:
Flexible Style Image Super-Resolution Using Conditional Objective. IEEE Access 10: 9774-9792 (2022)- [j82]Eunji Lee, Jaewoo Park, Hyung Il Koo, Nam Ik Cho:
Deep-learning and graph-based approach to table structure recognition. Multim. Tools Appl. 81(4): 5827-5848 (2022) - [c149]Keuntek Lee, Yeong Il Jang, Nam Ik Cho:
Disentangled Feature-Guided Multi-Exposure High Dynamic Range Imaging. ICASSP 2022: 2465-2469 - [c148]Haesoo Chung, Nam Ik Cho:
High Dynamic Range Imaging of Dynamic Scenes with Saturation Compensation but without Explicit Motion Compensation. WACV 2022: 61-71 - [i26]Seung Ho Park, Young-Su Moon, Nam Ik Cho:
Flexible Style Image Super-Resolution using Conditional Objective. CoRR abs/2201.04898 (2022) - [i25]Wonjun Kang, Geonsu Lee, Hyung Il Koo, Nam Ik Cho:
One-Shot Face Reenactment on Megapixels. CoRR abs/2205.13368 (2022) - 2021
- [j81]Hyuk Jin Kwon, Hyung Il Koo, Jaewoo Park, Nam Ik Cho:
Multistage Probabilistic Approach for the Localization of Cephalometric Landmarks. IEEE Access 9: 21306-21314 (2021) - [j80]Hochang Rhee, Yeong Il Jang, Seyun Kim, Nam Ik Cho:
Lossless Image Compression by Joint Prediction of Pixel and Context Using Duplex Neural Networks. IEEE Access 9: 86632-86645 (2021) - [j79]Joonyoung Ahn, Nam Ik Cho:
Multi-Branch Neural Architecture Search for Lightweight Image Super-Resolution. IEEE Access 9: 153633-153646 (2021) - [c147]Youngjin Oh, Gu Yong Park, Haesoo Chung, Sunwoo Cho, Nam Ik Cho:
Residual Dilated U-Net with Spatially Adaptive Normalization for the Restoration of Under Display Camera Images. APSIPA ASC 2021: 151-157 - [c146]Jae Hoon Shim, Hochang Rhee, Yeong Il Jang, Geonsu Lee, Seyun Kim, Nam Ik Cho:
Lossless Image Compression Based on Image Decomposition and Progressive Prediction Using Convolutional Neural Networks. APSIPA ASC 2021: 158-163 - [c145]Geonsu Lee, Hochang Rhee, Jae Hoon Shim, Hyung Il Koo, Nam Ik Cho:
Network Intrusion Detection with Improved Feature Representation. APSIPA ASC 2021: 2049-2054 - [c144]Young Kyun Jang, Nam Ik Cho:
Self-supervised Product Quantization for Deep Unsupervised Image Retrieval. ICCV 2021: 12065-12074 - [i24]Jae Woong Soh, Nam Ik Cho:
Deep Universal Blind Image Denoising. CoRR abs/2101.07017 (2021) - [i23]Jae Woong Soh, Nam Ik Cho:
Variational Deep Image Denoising. CoRR abs/2104.00965 (2021) - [i22]Joonyoung Ahn, Nam Ik Cho:
Neural Architecture Search for Image Super-Resolution Using Densely Constructed Search Space: DeCoNAS. CoRR abs/2104.09048 (2021) - [i21]Young Kyun Jang, Nam Ik Cho:
Similarity Guided Deep Face Image Retrieval. CoRR abs/2107.05025 (2021) - [i20]Young Kyun Jang, Nam Ik Cho:
Self-supervised Product Quantization for Deep Unsupervised Image Retrieval. CoRR abs/2109.02244 (2021) - [i19]Karam Park, Jae Woong Soh, Nam Ik Cho:
A Dynamic Residual Self-Attention Network for Lightweight Single Image Super-Resolution. CoRR abs/2112.04488 (2021) - [i18]Hochang Rhee, Yeong Il Jang, Seyun Kim, Nam Ik Cho:
LC-FDNet: Learned Lossless Image Compression with Frequency Decomposition Network. CoRR abs/2112.06417 (2021) - [i17]Jaewoo Park, Nam Ik Cho:
DProST: 6-DoF Object Pose Estimation Using Space Carving and Dynamic Projective Spatial Transformer. CoRR abs/2112.08775 (2021) - [i16]Young Kyun Jang, Geonmo Gu, ByungSoo Ko, Nam Ik Cho:
Self-Distilled Hashing for Deep Image Retrieval. CoRR abs/2112.08816 (2021) - 2020
- [j78]Yoonsik Kim, Jae Woong Soh, Nam Ik Cho:
AGARNet: Adaptively Gated JPEG Compression Artifacts Removal Network for a Wide Range Quality Factor. IEEE Access 8: 20160-20170 (2020) - [j77]Jae Woong Soh, Nam Ik Cho:
Lightweight Single Image Super-Resolution With Multi-Scale Spatial Attention Networks. IEEE Access 8: 35383-35391 (2020) - [j76]Sang Yoon Han, Hyuk Jin Kwon, Yoonsik Kim, Nam Ik Cho:
Noise-Robust Pupil Center Detection Through CNN-Based Segmentation With Shape-Prior Loss. IEEE Access 8: 64739-64749 (2020) - [j75]Sang-Hoon Lee, Haesoo Chung, Nam Ik Cho:
Exposure-Structure Blending Network for High Dynamic Range Imaging of Dynamic Scenes. IEEE Access 8: 117428-117438 (2020) - [j74]Jaewoo Park, Eunji Lee, Yoonsik Kim, Isaac Kang, Hyung Il Koo, Nam Ik Cho:
Multi-Lingual Optical Character Recognition System Using the Reinforcement Learning of Character Segmenter. IEEE Access 8: 174437-174448 (2020) - [j73]Junho Jo, Hyung Il Koo, Jae Woong Soh, Nam Ik Cho:
Handwritten Text Segmentation via End-to-End Learning of Convolutional Neural Networks. Multim. Tools Appl. 79(43-44): 32137-32150 (2020) - [j72]Yeong Il Jang, Yoonsik Kim, Nam Ik Cho:
Dual Path Denoising Network for Real Photographic Noise. IEEE Signal Process. Lett. 27: 860-864 (2020) - [j71]Yoonsik Kim, Jae Woong Soh, Jaewoo Park, Byeongyong Ahn, Hyun-Seung Lee, Young-Su Moon, Nam Ik Cho:
A Pseudo-Blind Convolutional Neural Network for the Reduction of Compression Artifacts. IEEE Trans. Circuits Syst. Video Technol. 30(4): 1121-1135 (2020) - [c143]Junho Jo, Jae Woong Soh, Jae Sung Park, Nam Ik Cho:
Local Backlight Dimming for Liquid Crystal Displays via Convolutional Neural Network. APSIPA 2020: 1067-1074 - [c142]Seokhyun Ahn, Nam Ik Cho:
Dynamic Matching of Local Features for Re-Identification of Pedestrians. APSIPA 2020: 1161-1169 - [c141]Young Kyun Jang, Nam Ik Cho:
Generalized Product Quantization Network for Semi-Supervised Image Retrieval. CVPR 2020: 3417-3426 - [c140]Yoonsik Kim, Jae Woong Soh, Gu Yong Park, Nam Ik Cho:
Transfer Learning From Synthetic to Real-Noise Denoising With Adaptive Instance Normalization. CVPR 2020: 3479-3489 - [c139]Jae Woong Soh, Sunwoo Cho, Nam Ik Cho:
Meta-Transfer Learning for Zero-Shot Super-Resolution. CVPR 2020: 3513-3522 - [c138]Hochang Rhee, Yeong Il Jang, Seyun Kim, Nam Ik Cho:
Channel-Wise Progressive Learning For Lossless Image Compression. ICIP 2020: 1113-1117 - [c137]Hyuk Jin Kwon, Hyung Il Koo, Nam Ik Cho:
Improving Explainability of Integrated Gradients with Guided Non-Linearity. ICPR 2020: 385-391 - [c136]Jae Woong Soh, Nam Ik Cho:
Deep Universal Blind Image Denoising. ICPR 2020: 747-754 - [c135]Sang Yoon Han, Nam Ik Cho:
User-Independent Gaze Estimation by Extracting Pupil Parameter and Its Mapping to the Gaze Angle. ICPR 2020: 1993-2000 - [c134]Karam Park, Jae Woong Soh, Nam Ik Cho:
Single Image Super-Resolution with Dynamic Residual Connection. ICPR 2020: 3240-3247 - [c133]Joonyoung Ahn, Nam Ik Cho:
Neural Architecture Search for Image Super-Resolution Using Densely Constructed Search Space: DeCoNAS. ICPR 2020: 4829-4836 - [c132]Jaewoo Park, Isaac Kang, Junhyeong Kwon, Eunji Lee, Yoonsik Kim, Sujeong You, Sang Hoon Ji, Nam Ik Cho:
Recognition of Assembly Instructions Based on Geometric Feature and Text Recognition. UR 2020: 139-143 - [i15]Yoonsik Kim, Jae Woong Soh, Gu Yong Park, Nam Ik Cho:
Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization. CoRR abs/2002.11244 (2020) - [i14]Young Kyun Jang, Nam Ik Cho:
Generalized Product Quantization Network for Semi-supervised Hashing. CoRR abs/2002.11281 (2020) - [i13]Jae Woong Soh, Sunwoo Cho, Nam Ik Cho:
Meta-Transfer Learning for Zero-Shot Super-Resolution. CoRR abs/2002.12213 (2020)
2010 – 2019
- 2019
- [j70]Yoonsik Kim, Jae Woong Soh, Nam Ik Cho:
Adaptively Tuning a Convolutional Neural Network by Gate Process for Image Denoising. IEEE Access 7: 63447-63456 (2019) - [j69]Uiwon Hwang, Jaewoo Park, Hyemi Jang, Sungroh Yoon, Nam Ik Cho:
PuVAE: A Variational Autoencoder to Purify Adversarial Examples. IEEE Access 7: 126582-126593 (2019) - [j68]Jae Woong Soh, Jae Sung Park, Nam Ik Cho:
Joint High Dynamic Range Imaging and Super-Resolution From a Single Image. IEEE Access 7: 177427-177437 (2019) - [j67]Jae Sung Park, Jae Woong Soh, Nam Ik Cho:
Generation of high dynamic range illumination from a single image for the enhancement of undesirably illuminated images. Multim. Tools Appl. 78(14): 20263-20283 (2019) - [c131]Junho Jo, Jae Woong Soh, Nam Ik Cho:
Handwritten Text Segmentation in Scribbled Document via Unsupervised Domain Adaptation. APSIPA 2019: 784-790 - [c130]Hochang Rhee, Nam Ik Cho:
Efficient and Robust Pseudo-Labeling for Unsupervised Domain Adaptation. APSIPA 2019: 980-985 - [c129]Haesoo Chung, Yoonsik Kim, Junho Jo, Sang-Hoon Lee, Nam Ik Cho:
Kernel Prediction Network for Detail-Preserving High Dynamic Range Imaging. APSIPA 2019: 1589-1594 - [c128]Young Kyun Jang, Nam Ik Cho:
Deep Face Image Retrieval for Cancelable Biometric Authentication. AVSS 2019: 1-8 - [c127]Jae Woong Soh, Gu Yong Park, Junho Jo, Nam Ik Cho:
Natural and Realistic Single Image Super-Resolution With Explicit Natural Manifold Discrimination. CVPR 2019: 8122-8131 - [c126]Sepidehsadat Hosseini, Nam Ik Cho:
GF-CapsNet: Using Gabor Jet and Capsule Networks for Facial Age, Gender, and Expression Recognition. FG 2019: 1-8 - [c125]Yoonsik Kim, Jae Woong Soh, Nam Ik Cho:
Adaptively Tuning a Convolutional Neural Network by Gating Process for Image Denoising. ICIP 2019: 1800-1804 - [c124]Hyuk Jin Kwon, Hyung Il Koo, Jae Woong Soh, Nam Ik Cho:
Age Estimation Using Trainable Gabor Wavelet Layers In A Convolutional Neural Network. ICIP 2019: 3626-3630 - [c123]Jae Woong Soh, Gu Yong Park, Nam Ik Cho:
Deep Hierarchical Single Image Super-Resolution by Exploiting Controlled Diverse Context Features. ISM 2019: 160-168 - [c122]Sang Yoon Han, Yoonsik Kim, Sang Hwa Lee, Nam Ik Cho:
Pupil Center Detection Based on the UNet for the User Interaction in VR and AR Environments. VR 2019: 958-959 - [i12]Uiwon Hwang, Jaewoo Park, Hyemi Jang, Sungroh Yoon, Nam Ik Cho:
PuVAE: A Variational Autoencoder to Purify Adversarial Examples. CoRR abs/1903.00585 (2019) - [i11]Jae Woong Soh, Jae Sung Park, Nam Ik Cho:
Joint High Dynamic Range Imaging and Super-Resolution from a Single Image. CoRR abs/1905.00933 (2019) - [i10]Junho Jo, Hyung Il Koo, Jae Woong Soh, Nam Ik Cho:
Handwritten Text Segmentation via End-to-End Learning of Convolutional Neural Network. CoRR abs/1906.05229 (2019) - [i9]Sepidehsadat Hosseini, Mohammad Amin Shabani, Nam Ik Cho:
Distill-2MD-MTL: Data Distillation based on Multi-Dataset Multi-Domain Multi-Task Frame Work to Solve Face Related Tasksks, Multi Task Learning, Semi-Supervised Learning. CoRR abs/1907.03402 (2019) - [i8]Jae Woong Soh, Gu Yong Park, Junho Jo, Nam Ik Cho:
Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination. CoRR abs/1911.03624 (2019) - [i7]Sung-Kwon Choo, Wonkyo Seo, Nam Ik Cho:
Automatic Video Object Segmentation via Motion-Appearance-Stream Fusion and Instance-aware Segmentation. CoRR abs/1912.01373 (2019) - 2018
- [j66]Jae Sung Park, Jae Woong Soh, Nam Ik Cho:
High Dynamic Range and Super-Resolution Imaging From a Single Image. IEEE Access 6: 10966-10978 (2018) - [j65]Jae Woong Soh, Jaewoo Park, Yoonsik Kim, Byeongyong Ahn, Hyun-Seung Lee, Young-Su Moon, Nam Ik Cho:
Reduction of Video Compression Artifacts Based on Deep Temporal Networks. IEEE Access 6: 63094-63106 (2018) - [j64]Dong-ju Jeong, Insung Hwang, Nam Ik Cho:
Co-Salient Object Detection Based on Deep Saliency Networks and Seed Propagation Over an Integrated Graph. IEEE Trans. Image Process. 27(12): 5866-5879 (2018) - [j63]Jaemin Kim, Donghwa Shin, Nam Ik Cho, Byunghee Kang, Naehyuck Chang:
Aging Management Using a Reconfigurable Switch Network for Arrays of Nonideal Power Cells. IEEE Trans. Very Large Scale Integr. Syst. 26(5): 855-866 (2018) - [c121]Young Kyun Jang, Dong-ju Jeong, Seok Hee Lee, Nam Ik Cho:
Deep Clustering and Block Hashing Network for Face Image Retrieval. ACCV (6) 2018: 325-339 - [c120]Sung-Kwon Choo, Wonkyo Seo, Dong-ju Jeong, Nam Ik Cho:
Learning Background Subtraction by Video Synthesis and Multi-scale Recurrent Networks. ACCV (6) 2018: 357-372 - [c119]Byeongyong Ahn, Yoonsik Kim, Gu Yong Park, Nam Ik Cho:
Block-Matching Convolutional Neural Network (BMCNN): Improving CNN-Based Denoising by Block-Matched Inputs. APSIPA 2018: 516-525 - [c118]Dong-ju Jeong, Sung-Kwon Choo, Wonkyo Seo, Nam Ik Cho:
Classification-Based Supervised Hashing with Complementary Networks for Image Search. BMVC 2018: 74 - [c117]Sang-Hoon Lee, Jae Sung Park, Nam Ik Cho:
A Multi-Exposure Image Fusion Based on the Adaptive Weights Reflecting the Relative Pixel Intensity and Global Gradient. ICIP 2018: 1737-1741 - [c116]Sung-Kwon Choo, Wonkyo Seo, Dong-ju Jeong, Nam Ik Cho:
Multi-scale Recurrent Encoder-Decoder Network for Dense Temporal Classification. ICPR 2018: 103-108 - [c115]Dae-Hyun Lee, Sang Hwa Lee, Nam Ik Cho:
Cancelable Biometrics Using Noise Embedding. ICPR 2018: 3390-3395 - [c114]Tae Ho Kil, Hyung Il Koo, Nam Ik Cho:
Scene text rectification using glyph and character alignment properties. ICPR 2018: 3663-3668 - [i6]Sepidehsadat Hosseini, Seok Hee Lee, Nam Ik Cho:
Feeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks. CoRR abs/1801.07848 (2018) - 2017
- [j62]Dong-ju Jeong, Hyoung Jin Yoo, Nam Ik Cho:
A static video summarization method based on the sparse coding of features and representativeness of frames. EURASIP J. Image Video Process. 2017: 1 (2017) - [j61]Byeongyong Ahn, Jewoong Ryu, Hyung Il Koo, Nam Ik Cho:
Textline detection in degraded historical document images. EURASIP J. Image Video Process. 2017: 82 (2017) - [j60]Insung Hwang, Sang Hwa Lee, Jae Sung Park, Nam Ik Cho:
Saliency detection based on seed propagation in a multilayer graph. Multim. Tools Appl. 76(2): 2111-2129 (2017) - [j59]Jaehyun An, Hyung Il Koo, Nam Ik Cho:
Rectification of planar targets using line segments. Mach. Vis. Appl. 28(1-2): 91-100 (2017) - [j58]Pham Ngoc Son, Dongsoo Har, Nam Ik Cho, Hyung Yun Kong:
Optimal Power Allocation of Relay Sensor Node Capable of Energy Harvesting in Cooperative Cognitive Radio Network. Sensors 17(3): 648 (2017) - [j57]Seon Heo, Hyung Il Koo, Nam Ik Cho:
Open-Contour Tracking Using a New State-Space Model and Nonrigid Motion Training. IEEE Trans. Circuits Syst. Video Technol. 27(11): 2355-2366 (2017) - [c113]Jae Woong Soh, Hyun-Seung Lee, Nam Ik Cho:
An image compression algorithm based on the Karhunen Loève transform. APSIPA 2017: 1436-1439 - [c112]Insung Hwang, Yoonsik Kim, Nam Ik Cho:
Skin detection based on multi-seed propagation in a multi-layer graph for regional and color consistency. ICASSP 2017: 1273-1277 - [c111]Dong-ju Jeong, Sung-Kwon Choo, Wonkyo Seo, Nam Ik Cho:
Regional deep feature aggregation for image retrieval. ICASSP 2017: 1737-1741 - [c110]Tae Ho Kil, Wonkyo Seo, Hyung Il Koo, Nam Ik Cho:
Robust Document Image Dewarping Method Using Text-Lines and Line Segments. ICDAR 2017: 865-870 - [c109]Insung Hwang, Dong-ju Jeong, Jae Sung Park, Nam Ik Cho:
Co-saliency detection via seed propagation over the integrated graph with a cluster layer. ICIP 2017: 2040-2044 - [c108]Yoonsik Kim, Insung Hwang, Nam Ik Cho:
Convolutional neural networks and training strategies for skin detection. ICIP 2017: 3919-3923 - [c107]Hyuk Jin Kwon, Seok Hee Lee, Sepidehsadat Hosseini, Jae Won Moon, Hyung Il Koo, Nam Ik Cho:
Multiple face tracking method in the wild using color histogram features. ISSPIT 2017: 51-55 - [c106]Sang Yoon Han, Sang Hwa Lee, Nam Ik Cho:
Gaze estimation using 3-D eyeball model under HMD circumstance. MMSP 2017: 1-4 - [i5]Yoonsik Kim, Insung Hwang, Nam Ik Cho:
A New Convolutional Network-in-Network Structure and Its Applications in Skin Detection, Semantic Segmentation, and Artifact Reduction. CoRR abs/1701.06190 (2017) - [i4]Byeongyong Ahn, Nam Ik Cho:
Block-Matching Convolutional Neural Network for Image Denoising. CoRR abs/1704.00524 (2017) - [i3]Byeongyong Ahn, Nam Ik Cho:
Self-Commmittee Approach for Image Restoration Problems using Convolutional Neural Network. CoRR abs/1705.04528 (2017) - [i2]Dong-ju Jeong, Insung Hwang, Nam Ik Cho:
Co-salient Object Detection Based on Deep Saliency Networks and Seed Propagation over an Integrated Graph. CoRR abs/1706.09650 (2017) - [i1]Jae Sung Park, Nam Ik Cho:
Generation of High Dynamic Range Illumination from a Single Image for the Enhancement of Undesirably Illuminated Images. CoRR abs/1708.00636 (2017) - 2016
- [j56]Hyung Il Koo, Nam Ik Cho:
Robust skew estimation using straight lines in document images. J. Electronic Imaging 25(3): 033014 (2016) - [c105]Sang Yoon Han, Insung Hwang, Sang Hwa Lee, Nam Ik Cho:
Gaze estimation using 3-D eyeball model and eyelid shapes. APSIPA 2016: 1-4 - [c104]Dae-Hyun Lee, Bora Jin, Jewoong Ryu, Nam Ik Cho:
A scalable coding based on structure-preserving filter and saliency-ordered transmission. APSIPA 2016: 1-4 - [c103]Insung Hwang, Jae Sung Park, Gu Yong Park, Nam Ik Cho:
Image co-saliency detection based on clustering and diffusion process. VCIP 2016: 1-4 - [c102]Hyung Il Koo, Beom Su Kim, Young Ki Baik, Nam Ik Cho:
Fast and simple text replacement algorithm for text-based augmented reality. VCIP 2016: 1-4 - 2015
- [j55]Bora Jin, Su Jeong You, Nam Ik Cho:
Bilateral image denoising in the Laplacian subbands. EURASIP J. Image Video Process. 2015: 26 (2015) - [j54]Wonkyo Seo, Hyung Il Koo, Nam Ik Cho:
Junction-based table detection in camera-captured document images. Int. J. Document Anal. Recognit. 18(1): 47-57 (2015) - [j53]Jaehyun An, Beom Su Kim, Hyung Il Koo, Nam Ik Cho:
Unified framework for automatic image stitching and rectification. J. Electronic Imaging 24(3): 033007 (2015) - [j52]Beom Su Kim, Hyung Il Koo, Nam Ik Cho:
Document dewarping via text-line based optimization. Pattern Recognit. 48(11): 3600-3614 (2015) - [j51]Jewoong Ryu, Hyung Il Koo, Nam Ik Cho:
Word Segmentation Method for Handwritten Documents based on Structured Learning. IEEE Signal Process. Lett. 22(8): 1161-1165 (2015) - [j50]Byeongyong Ahn, Hyung Il Koo, Hong Il Kim, Jichull Jeong, Nam Ik Cho:
Efficient Unwrap Representation of Faces for Video Editing. IEEE Signal Process. Lett. 22(10): 1718-1722 (2015) - [c101]Sang Heon Lee, Dae-Hyun Lee, Jewoong Ryu, Nam Ik Cho:
New intra prediction methods based on channel correlation and their combination for color image compression. APSIPA 2015: 1107-1115 - [c100]Dong-ju Jeong, Hyoung Jin Yoo, Nam Ik Cho:
Consumer video summarization based on image quality and representativeness measure. GlobalSIP 2015: 572-576 - [c99]Hyun-Seung Lee, Ji Young Yi, Nam Ik Cho:
LPI adaptive descreening method with Hadamard domain analysis. ICIP 2015: 364-367 - [c98]Joonyoung Ahn, Byeongyong Ahn, Jaehyun An, Hyung Il Koo, Nam Ik Cho:
Fast approximate inverse filtering for reducing motion blur in liquid crystal display. ICSIPA 2015: 156-159 - [c97]Seon Heo, Nam Ik Cho:
Level set tracking using shape prior and global-local color model. ICSIPA 2015: 469-472 - 2014
- [j49]Jaehyun An, Seong Jong Ha, Nam Ik Cho:
Probabilistic motion pixel detection for the reduction of ghost artifacts in high dynamic range images from multiple exposures. EURASIP J. Image Video Process. 2014: 42 (2014) - [j48]Jewoong Ryu, Hyung Il Koo, Nam Ik Cho:
Language-Independent Text-Line Extraction Algorithm for Handwritten Documents. IEEE Signal Process. Lett. 21(9): 1115-1119 (2014) - [j47]Seyun Kim, Nam Ik Cho:
Lossless Compression of Color Filter Array Images by Hierarchical Prediction and Context Modeling. IEEE Trans. Circuits Syst. Video Technol. 24(6): 1040-1046 (2014) - [j46]Seyun Kim, Nam Ik Cho:
Hierarchical Prediction and Context Adaptive Coding for Lossless Color Image Compression. IEEE Trans. Image Process. 23(1): 445-449 (2014) - [c96]Byeongyong Ahn, Hyung Il Koo, Nam Ik Cho:
Image registration algorithm based on regular sparse correspondences and SIFT. APSIPA 2014: 1-4 - [c95]Seon Heo, Hyung Il Koo, Nam Ik Cho:
Preprocessing method for region-of-interest video call compression. APSIPA 2014: 1-4 - [c94]