Search Results for author: Hyunsuk Ko

Found 6 papers, 0 papers with code

Study of Subjective and Objective Quality in Super-Resolution Enhanced Broadcast Images on a Novel SR-IQA Dataset

no code implementations26 Sep 2024 Yongrok Kim, Junha Shin, Juhyun Lee, Hyunsuk Ko

To display low-quality broadcast content on high-resolution screens in full-screen format, the application of Super-Resolution (SR), a key consumer technology, is essential.

2k 4k +2

Space-Time Video Regularity and Visual Fidelity: Compression, Resolution and Frame Rate Adaptation

no code implementations31 Mar 2021 Dae Yeol Lee, Hyunsuk Ko, Jongho Kim, Alan C. Bovik

As a stringent test of the new model, we apply it to the difficult problem of predicting the quality of videos subjected not only to compression, but also to downsampling in space and/or time.

On the Space-Time Statistics of Motion Pictures

no code implementations29 Jan 2021 Dae Yeol Lee, Hyunsuk Ko, Jongho Kim, Alan C. Bovik

It is well-known that natural images possess statistical regularities that can be captured by bandpass decomposition and divisive normalization processes that approximate early neural processing in the human visual system.

Optical Flow Estimation

Robust Uncalibrated Stereo Rectification with Constrained Geometric Distortions (USR-CGD)

no code implementations31 Mar 2016 Hyunsuk Ko, Han Suk Shim, Ouk Choi, C. -C. Jay Kuo

A novel algorithm for uncalibrated stereo image-pair rectification under the constraint of geometric distortion, called USR-CGD, is presented in this work.

A ParaBoost Stereoscopic Image Quality Assessment (PBSIQA) System

no code implementations31 Mar 2016 Hyunsuk Ko, Rui Song, C. -C. Jay Kuo

The problem of stereoscopic image quality assessment, which finds applications in 3D visual content delivery such as 3DTV, is investigated in this work.

Stereoscopic image quality assessment

MCL-3D: a database for stereoscopic image quality assessment using 2D-image-plus-depth source

no code implementations23 Mar 2014 Rui Song, Hyunsuk Ko, C. -C. Jay Kuo

A new stereoscopic image quality assessment database rendered using the 2D-image-plus-depth source, called MCL-3D, is described and the performance benchmarking of several known 2D and 3D image quality metrics using the MCL-3D database is presented in this work.

Benchmarking Stereoscopic image quality assessment

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