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Yung-Lyul Lee

Yung-Lyul Lee

D-Index & Metrics

Computer Science

D-Index
32
Citations
5367
World Ranking
13034
National Ranking
171

Overview

Yung-Lyul Lee is a researcher affiliated with Sejong University in South Korea, specializing in the field of Computer Science. Their research predominantly focuses on subspecialties such as Computer Vision and Pattern Recognition, and Signal Processing.

The primary topics in Lee's work encompass:

  • Video Coding and Compression Technologies
  • Advanced Data Compression Techniques
  • Advanced Vision and Imaging
  • Advanced Image Processing Techniques
  • Image and Video Quality Assessment
  • Advanced Image and Video Retrieval Techniques
  • Digital Filter Design and Implementation

Lee has published a number of research papers in various peer-reviewed journals. Recent publications include:

  • Overview of Versatile Video Coding (H.266/VVC) and Its Coding Performance Analysis, 2023, IEIE Transactions on Smart Processing and Computing
  • Object Detection-Based Video Compression, 2022, Applied Sciences
  • Subsampled Sum-Modified-Laplacian for Adaptive Loop Filter in Versatile Video Coding, 2020, IEEE Access
  • Frequency-Based Adaptive Interpolation Filter in Intra Prediction, 2023, Applied Sciences
  • Adaptive Interpolation Filter Using Correlation for Inter Prediction, 2023, IEEE Access

The researcher has contributed regularly to several publication venues, including:

  • Applied Sciences
  • IEEE Access
  • IEIE Transactions on Smart Processing and Computing
  • Electronics

Frequent collaborators with whom Lee has published multiple times are:

  • Jungwon Kang
  • Min-Kyeong Choi
  • Minhun Lee
  • HyeonJu Song
  • Jeeyoon Park

Best Publications

  • Blocking effect reduction of JPEG images by signal adaptive filtering

    Y.L. Lee;H.C. Kim;H.W. Park

  • Image data post-processing method for reducing quantization effect, apparatus therefor

    Yung Lyul Lee;Hyun Wook Park

  • Method of encoding mode determination, method of motion estimation and encoding apparatus

    Yung-Lyul Lee;Ki-hoon Han

  • Loop-filtering method for image data and apparatus therefor

    Yung-Lyul Lee;Hyun-Wook Park

  • Early Termination of CU Encoding to Reduce HEVC Complexity

    Ryeong-hee Gweon;Yung-Lyul Lee

  • Peak-to-average power ratio in MIMO-OFDM systems using selective mapping

    Yung-Lyul Lee;Young-Hwan You;Won-Gi Jeon;Jong-Ho Paik

  • One-dimensional signal adaptive filter for reducing blocking effect and filtering method

    Yung-Lyul Lee

  • A postprocessing method for reducing quantization effects in low bit-rate moving picture coding

    Hyun Wook Park;Yung Lyul Lee

  • Data transmitting/receiving system and method thereof

    Jeong-hoon Park;Yung-Lyul Lee

  • Improved lossless intra coding for H.264/MPEG-4 AVC

    Yung-Lyul Lee;Ki-Hun Han;G.J. Sullivan

  • Signal adaptive filtering method for reducing ringing noise and signal adaptive filter

    Yung-Lyul Lee

  • Loop filter and loop filtering method

    Yung-Lyul Lee;Hyun-Wook Park

  • Loop filtering and post-filtering for low-bit-rates moving picture coding

    Yung Lyul Lee;HyunWook Park

  • New Standardized Extensions of MPEG4-AVC/H.264 for Professional-Quality Video Applications

    G.J. Sullivan;Haoping Yu;S.-i. Sekiguchi;Huifang Sun

  • Apparatus and method for image encoding/decoding using predictability of intra-prediction mode

    Hayoon Kim;Byeungwoo Jeon;Joohee Moon;Yunglyul Lee

  • Adaptive Local Illumination Change Compensation Method for H.264/AVC-Based Multiview Video Coding

    Jae-Ho Hur;Sukhee Cho;Yung-Lyul Lee

  • Method and apparatus for image encoding/decoding

    Hayoon Kim;Haekwang Kim;Joohee Moon;Yunglyul Lee

  • Apparatus of predictive coding/decoding using view-temporal reference picture buffers and method using the same

    Dae-Hee Kim;Nam-Ho Hur;Soo-In Lee;Yung-Lyul Lee

  • Loop filtering method for reducing blocking effects and ringing noise of a motion-compensated image

    Yung-Lyul Lee;Hyun-Wood Park

  • Apparatus and method for encoding and decoding moving picture using adaptive scanning

    Jeong-Il Seo;Wook-Joong Kim;Kyu-Heon Kim;Kyeong-Ok Kang

Frequent Co-Authors

Byeungwoo Jeon
Byeungwoo Jeon Sungkyunkwan University
HyunWook Park
HyunWook Park Korea Advanced Institute of Science and Technology
Dong-Seek Park
Dong-Seek Park Samsung (South Korea)
Gary J. Sullivan
Gary J. Sullivan Microsoft (United States)
K. R. Rao
K. R. Rao The University of Texas at Arlington
Dongkyun Kim
Dongkyun Kim Kyungpook National University

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