ScholarWorks@Korea University: Kim, Jong ok

Detailed Information

Kim, Jong ok (김종옥)

College of Engineering (School of Electrical Engineering)

Research Area

Tel 4829
Homepage

ResearcherID ORCiD Scopus Google Scholar ID ResearchGate

Keyword

Image color analysis:6||Deep learning:4||Image reconstruction:4||Estimation:4||superresolution:3||Feature extraction:3||PCA:3||Image fusion:3||Image restoration:2||OLED display:2||Reflection:2||Skin roughness:2||Skin image:2||Image resolution:2||AC light:2||color constancy:2||recurrent convolutional network:2||Image superresolution:2||IEEE 802:2||Texture domain:2||Noisy image:2||Dynamic range:2||backprojection:2||wavelet transform:1||SR GAN:1||ambient light:1||GPU:1||UHD video:1||Selflearning:1||Compression noise:1||Pore:1||fast search:1||clustered contrast loss:1||probabilistic classification:1||fast algorithm:1||multiaccess network:1||16:1||EdgeOriented:1||measurements:1||Neural networks:1||specular reflection:1||shape estimation:1||Multiexposure image fusion:1||dilated convolution filter:1||color restoration:1||orthogonal transform:1||optical seethrough display:1||Realtime:1||Color saturation:1||power consumption reduction:1||backlight modulation:1||IEEE 802.11e EDCA:1||Network Coding (NC):1||heterogeneous wireless networks:1||bilateral filter:1||Standards:1||Imaging:1||Photonics:1||Transformers:1||optical seethrough headmounted displays:1||Task analysis:1||detail restoration:1||Image denoising:1||deep learning for image denoising:1||multiinput network:1||Principal component analysis:1||Optimization:1||sparsity:1||Generators:1||deep learning for super resolution:1||just noticeable color difference:1||Pigmentation:1||kickout condition:1||liquid crystal display:1||qualitypower optimization:1||image resizing:1||pore extraction:1||11:1||decoding complexity scalability:1||inverse transform:1||testbed:1||dichromatic reflection model:1||focus pixel:1||Image synthesis:1||colorimetric estimation:1||seethrough display:1||Correlation:1||Temporal color constancy:1||Dichromatic reflection model:1||Brightness:1||Image prediction:1||Noise robustness:1||real rain dataset:1||video rain removal:1||image restoration:1||gamma tone mapping:1||Color constancy:1||Graylevel cooccurrence matrix (GLCM):1||Linefitting:1||LCD backlight:1||shooting distance:1||skin image:1||MJPEG:1||airtimebalance:1||image generation:1||Production facilities:1||Computational modeling:1||Fuses:1||Pseudo multiexposure:1||Spatial resolution:1||Selfsimilarity:1||Learningbased denoising:1||power consumption:1||perceptual quality:1||post processing:1||skin condition estimation:1||QoS control:1||mobile VNC:1||screen image coding:1||modified region coding:1||Automatic Repeat reQuest (ARQ):1||Training Set:1||H.264/AVC decoder:1||Illuminant estimation:1||ghost free imaging:1||saturation recovery:1||background subtraction:1||tone mapping:1||Dictionaries:1||Computer vision:1||gradual fusion:1||Deep multiexposure image fusion:1||Plant growth:1||Noise measurement:1||texture:1||Progressive rain removal:1||Frequencydomain analysis:1||visibility enhancement:1||low graylevel region:1||Regionadaptive:1||Dual learning:1||selfsimilarity:1||SVM:1||power reduction:1||adaptive dimming:1||network coding (NC):1||downscaling:1||multiradio:1||denoising:1||Image interpolation:1||explainable deep learning:1||Plant growth prediction:1||Shape:1||temporal correlation:1||highspeed video:1||Visualization:1||Spatial transformer network:1||Shape domain:1||Flash fusion:1||Autoencoder:1||GAN:1||Generative adversarial networks:1||dichromatic reflection illuminant estimation:1||white balancing:1||Superresolution:1||Segmentation:1||global dimming:1||multiclass classification:1||agegroup classification:1||multimedia traffic split:1||IEEE 802 11 DCF:1||Image Interpolation:1||motion compensation:1||link aggregation:1||Benchmark testing:1||Cameras:1||Disparity:1||high dynamic range:1||spatial transformer network:1||Convolutional neural networks:1||Light sources:1||Vision transformer:1||Low light enhancement:1||cost optimization:1||Discrete cosine transforms:1||multidiscriminators:1||Denoising:1||just noticeable difference:1||middlefrequency:1||Edge Map:1||unsharp masking:1||chroma histogram:1||Lenses:1||joint learning:1||timeseries images:1||background color blending:1||highlight removal:1||feature decomposition:1||halo artifact reduction:1||

STATISTICS: Total View :6,940,465; Today View :6,533

RSS_1.0 RSS_2.0 ATOM_1.0

145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea+82-2-3290-2963

Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.

Detailed Information

Keyword

BROWSE