ScholarWorks@Korea University: Kim, Jong ok

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Kim, Jong ok (김종옥)

College of Engineering

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Tel 4829
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Image color analysis:9||Estimation:8||Transformers:5||Feature extraction:5||Image reconstruction:5||Task analysis:4||Deep learning:4||AC light:4||Reflection:4||PCA:3||Lighting:3||Image fusion:3||Correlation:3||color constancy:3||superresolution:3||Color constancy:3||Cameras:3||Visualization:2||Skin roughness:2||Skin image:2||spatial transformer network:2||Convolutional neural networks:2||Light sources:2||Image resolution:2||Discrete cosine transforms:2||Dynamic range:2||highlight removal:2||highspeed video:2||Shape:2||Plant growth prediction:2||OLED display:2||Image restoration:2||recurrent convolutional network:2||Image superresolution:2||Brightness:2||IEEE 802:2||Texture domain:2||Noisy image:2||Optimization:2||Intrinsic image decomposition:2||Reflectivity:2||backprojection:2||shape estimation:2||Neural networks:2||Image decomposition: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||specular reflection:1||Multiexposure image fusion:1||dilated convolution filter:1||color restoration:1||Noise reduction:1||texture classification:1||texture enhancement: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||optical seethrough headmounted displays:1||detail restoration:1||Transforms:1||Response surface:1||Diseases:1||multiband nearinfrared (NIR):1||Image denoising:1||deep learning for image denoising:1||multiinput network:1||Principal component analysis: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||seethrough display:1||colorimetric estimation:1||Temporal color constancy:1||Dichromatic reflection model:1||Image prediction:1||High frequency:1||cross attention:1||RoIattention:1||Image enhancement:1||Signal to noise ratio:1||Noise robustness:1||real rain dataset:1||video rain removal:1||image restoration:1||gamma tone mapping: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||sequential image:1||convolution neural network:1||Lettuce seedlings:1||Mixture design:1||Colorblind:1||Image segmentation:1||Smart agriculture:1||semantic segmentation:1||multiband NIR:1||illuminant estimation: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||Plants (biology):1||hierarchical network:1||Plant growth:1||highspeed camera:1||dichromatic model:1||Light quality:1||Digital accessibility:1||Knowledge acquisition:1||spatiospectral: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||temporal correlation:1||Spatial transformer network:1||Shape domain:1||Webtoon accessibility:1||Plant diseases:1||knowledge distillation: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||Disparity:1||high dynamic range:1||Vision transformer:1||Region adaptive image denoising:1||Surface treatment:1||LED:1||Crops:1||disease:1||Retinextheory:1||Low light enhancement:1||cost optimization: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||feature decomposition:1||halo artifact reduction:1||Fluctuations:1||Dichromatic model:1||Color vision deficiency:1||Semantic segmentation:1||small object detection:1||crop images:1||Knowledge transfer:1||crossattention:1||

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