42 citations · 318 across the 30 of their papers we have counts for
11 papers · 1 filter
An End-to-End Joint Learning Scheme of Image Compression and Quality Enhancement with Improved Entropy Minimization
Jooyoung Lee, Seunghyun Cho, Munchurl Kim
Recently, learned image compression methods have been actively studied. Among them, entropy-minimization based approaches have achieved superior results compared to conventional im…
FISR: Deep Joint Frame Interpolation and Super-Resolution with a Multi-scale Temporal Loss
Soo Ye Kim, Jihyong Oh, Munchurl Kim
Super-resolution (SR) has been widely used to convert low-resolution legacy videos to high-resolution (HR) ones, to suit the increasing resolution of displays (e.g. UHD TVs). Howev…
Deep 3D Pan via adaptive "t-shaped" convolutions with global and local adaptive dilations
Juan Luis Gonzalez Bello, Munchurl Kim
Recent advances in deep learning have shown promising results in many low-level vision tasks. However, solving the single-image-based view synthesis is still an open problem. In pa…
Deep 3D-Zoom Net: Unsupervised Learning of Photo-Realistic 3D-Zoom
Juan Luis Gonzalez Bello, Munchurl Kim
The 3D-zoom operation is the positive translation of the camera in the Z-axis, perpendicular to the image plane. In contrast, the optical zoom changes the focal length and the digi…
JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR Video
Soo Ye Kim, Jihyong Oh, Munchurl Kim
Joint learning of super-resolution (SR) and inverse tone-mapping (ITM) has been explored recently, to convert legacy low resolution (LR) standard dynamic range (SDR) videos to high…
S3: A Spectral-Spatial Structure Loss for Pan-Sharpening Networks
Jae-Seok Choi, Yongwoo Kim, Munchurl Kim
Recently, many deep-learning-based pan-sharpening methods have been proposed for generating high-quality pan-sharpened (PS) satellite images. These methods focused on various types…
Deep Predictive Video Compression with Bi-directional Prediction
Woonsung Park, Munchurl Kim
Recently, deep image compression has shown a big progress in terms of coding efficiency and image quality improvement. However, relatively less attention has been put on video comp…
Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications
Soo Ye Kim, Jihyong Oh, Munchurl Kim
Recent modern displays are now able to render high dynamic range (HDR), high resolution (HR) videos of up to 8K UHD (Ultra High Definition). Consequently, UHD HDR broadcasting and…
A HVS-inspired Attention to Improve Loss Metrics for CNN-based Perception-Oriented Super-Resolution
Taimoor Tariq, Juan Luis Gonzalez, Munchurl Kim
Deep Convolutional Neural Network (CNN) features have been demonstrated to be effective perceptual quality features. The perceptual loss, based on feature maps of pre-trained CNN's…
A Novel Monocular Disparity Estimation Network with Domain Transformation and Ambiguity Learning
Juan Luis Gonzalez Bello, Munchurl Kim
Convolutional neural networks (CNN) have shown state-of-the-art results for low-level computer vision problems such as stereo and monocular disparity estimations, but still, have m…
A Novel Just-Noticeable-Difference-based Saliency-Channel Attention Residual Network for Full-Reference Image Quality Predictions
Soomin Seo, Sehwan Ki, Munchurl Kim
Recently, due to the strength of deep convolutional neural networks (CNN), many CNN-based image quality assessment (IQA) models have been studied. However, previous CNN-based IQA m…