Sung-Ho Bae
Sung-Ho Bae
Kyung Hee Univ., Dept. of Computer Science and Engineering의 이메일 확인됨 - 홈페이지
Assessments of subjective video quality on HEVC-encoded 4K-UHD video for beyond-HDTV broadcasting services
SH Bae, J Kim, M Kim, S Cho, JS Choi
IEEE Transactions on Broadcasting 59 (2), 209-222, 2013
An HEVC-compliant perceptual video coding scheme based on JND models for variable block-sized transform kernels
J Kim, SH Bae, M Kim
IEEE Transactions on Circuits and Systems for Video Technology 25 (11), 1786 …, 2015
A novel image quality assessment with globally and locally consilient visual quality perception
SH Bae, M Kim
IEEE Transactions on Image Processing 25 (5), 2392-2406, 2016
A novel DCT-based JND model for luminance adaptation effect in DCT frequency
SH Bae, M Kim
IEEE Signal Processing Letters 20 (9), 893-896, 2013
A novel generalized DCT-based JND profile based on an elaborate CM-JND model for variable block-sized transforms in monochrome images
SH Bae, M Kim
IEEE Transactions on Image processing 23 (8), 3227-3240, 2014
HEVC-based perceptually adaptive video coding using a DCT-based local distortion detection probability model
SH Bae, J Kim, M Kim
IEEE Transactions on Image Processing 25 (7), 3343-3357, 2016
A DCT-based total JND profile for spatiotemporal and foveated masking effects
SH Bae, M Kim
IEEE Transactions on Circuits and Systems for Video Technology 27 (6), 1196-1207, 2016
Large-scale, fast and accurate shot boundary detection through spatio-temporal convolutional neural networks
A Hassanien, M Elgharib, A Selim, SH Bae, M Hefeeda, W Matusik
arXiv preprint arXiv:1705.03281, 2017
Learning-based just-noticeable-quantization-distortion modeling for perceptual video coding
S Ki, SH Bae, M Kim, H Ko
IEEE Transactions on Image Processing 27 (7), 3178-3193, 2018
Real-time road lane detection in urban areas using LiDAR data
J Jung, SH Bae
Electronics 7 (11), 276, 2018
A new DCT-based JND model of monochrome images for contrast masking effects with texture complexity and frequency
SH Bae, M Kim
IEEE International Conference on Image Processing 1 (1), 431-434, 2013
Solar farside magnetograms from deep learning analysis of STEREO/EUVI data
T Kim, E Park, H Lee, YJ Moon, SH Bae, D Lim, S Jang, L Kim, IH Cho, ...
Nature Astronomy 3 (5), 397-400, 2019
HRAN: Hybrid residual attention network for single image super-resolution
A Muqeet, MTB Iqbal, SH Bae
IEEE Access 7, 137020-137029, 2019
AIM 2020 challenge on efficient super-resolution: Methods and results
K Zhang, M Danelljan, Y Li, R Timofte, J Liu, J Tang, G Wu, Y Zhu, X He, ...
European Conference on Computer Vision, 5-40, 2020
A no-reference perceptual blurriness metric based fast super-resolution of still pictures using sparse representation
JS Choi, SH Bae, M Kim
Computational Imaging XIII 9401, 94010N, 2015
Browsing architecture with presentation metadata for the internet of things
S Bae, D Kim, M Ha, SH Kim
2011 IEEE 17th International Conference on Parallel and Distributed Systems …, 2011
Bimodal learning via trilogy of skip-connection deep networks for diabetic retinopathy risk progression identification
CH Hua, T Huynh-The, K Kim, SY Yu, T Le-Tien, GH Park, J Bang, ...
International journal of medical informatics 132, 103926, 2019
A novel SSIM index for image quality assessment using a new luminance adaptation effect model in pixel intensity domain
SH Bae, M Kim
2015 Visual Communications and Image Processing (VCIP), 1-4, 2015
Image super-resolution based on convolution neural networks using multi-channel input
GY Youm, SH Bae, M Kim
2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop …, 2016
DCT-QM: A DCT-based quality degradation metric for image quality optimization problems
SH Bae, M Kim
IEEE Transactions on Image Processing 25 (10), 4916-4930, 2016
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