Research Overview

Worked as a postdoctoral research fellow (2018-2024) in the Department of Computer Science at the University of Warwick. The work in which I engaged is as follows: with application to various types of YCbCr and RGB data, I am developing perceptual quantisation and related algorithms — C++ and MATLAB — for the High Efficiency Video Coding (HEVC)/H.265 standard and the Versatile Video Coding (VVC)/H.266 standard. The raw video data to which the proposed algorithms are applied includes medical image data and various types of screen content including camera-captured content and animated content. This work follows on from the research that I conducted prior to the completion of my PhD in Computer Science at the University of Warwick. https://www.warwick.ac.uk/leeprangnell.

First Author Publications and Preprints

• "Spectral-PQ: A Novel Spectral Sensitivity-Orientated Perceptual Compression Technique for RGB 4:4:4 Video Data", Cornell University arXiv, 2022 (Paper).

• "HVS-Based Perceptual Color Compression of Image Data", IEEE International Conference on Acoustics, Speech and Signal Processing, Toronto, Ontario, Canada, 2021 (Paper) (Poster) (Slides).

• "Spatiotemporal Adaptive Quantization for the Perceptual Video Coding of RGB 4:4:4 Data", Cornell University arXiv, 2020 (Paper).

• "Frequency-Dependent Perceptual Quantisation for Visually Lossless Compression Applications", Cornell University arXiv, 2019 (Paper).

• "JND-Based Perceptual Video Coding for 4:4:4 Screen Content Data in HEVC", IEEE International Conference on Acoustics, Speech and Signal Processing, Calgary, Alberta, Canada, 2018 (Paper) (Slides).

• "Visually Lossless Coding in HEVC: A High Bit Depth and 4:4:4 Capable JND-Based Perceptual Quantisation Technique for HEVC", Elsevier Signal Processing: Image Communication Journal, 2018 (Paper).

• "Coding Block-Level Perceptual Video Coding for 4:4:4 Data in HEVC", IEEE International Conference on Image Processing, Beijing, China, 2017 (Paper) (Poster).

• "Cross-Color Channel Perceptually Adaptive Quantization for HEVC", IEEE Data Compression Conference, Snowbird, Utah, USA, 2017 (Paper) (Poster).

• "Visible Light-Based Human Visual System Conceptual Model", Cornell University arXiv, 2016 (Paper).

• "Adaptive Quantization Matrices for HD and UHD Resolutions in Scalable HEVC", IEEE Data Compression Conference, Snowbird, Utah, USA, 2016 (Paper) (Poster).

• "Adaptive Quantization by Soft Thresholding in HEVC", IEEE Picture Coding Symposium, Cairns, Queensland, Australia, 2015 (Paper) (Poster). 

Prior to completing my Doctor of Philosophy (PhD) degree, I was working in the research domain of Methodologies and Applications in the Department of Computer Science. In my research undertakings, four novel contributions have been proposed in the field of visually lossless coding (perceptual quantisation) for the HEVC standard, which are presented in the following PhD thesis:

• PhD Thesis: "Visually Lossless Coding for the HEVC Standard: Efficient Perceptual Quantisation Contributions for HEVC" (Thesis).

 

Academic Certificates

 

Doctor of Philosophy (PhD) Computer Science — University of Warwick

Master of Science (MSc) Information Technology — University of Liverpool

 

---