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Donghui Feng - IEEE Xplore Author Profile
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Donghui Feng

Publications
9
Citations
17
Publications by Year
20222025
Co-Authors:
Show All Co-Authors (20)
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Donghui Feng

Affiliation

Institute of Image Communication and Network Engineering
Shanghai Jiao Tong University
Shanghai, China

Publication Topics

Biography

Donghui Feng received the B.S. degree in information engineering from Shanghai Jiao Tong University, Shanghai, China, in 2020, where he is currently pursuing the Ph.D. degree with the Department of Computer Science and Engineering. His research interests include image and video processing, video compression, and computer vision.(Based on document published on 27 December 2024).
Publications
9
Citations
17
Publications by Year
20222025
Co-Authors:
Show All Co-Authors (20)
Author's Published Works

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MISC: Ultra-Low Bitrate Image Semantic Compression Driven by Large Multimodal Model

Chunyi Li;Guo Lu;Donghui Feng;Haoning Wu;Zicheng Zhang;Xiaohong Liu;Guangtao Zhai;Weisi Lin;Wenjun Zhang

IEEE Transactions on Image Processing
Year: 2025 | Volume: 34 | Journal Article |
Cited by: Papers (1)
With the evolution of storage and communication protocols, ultra-low bitrate image compression has become a highly demanding topic. However, all existing compression algorithms must sacrifice either consistency with the ground truth or perceptual quality at ultra-low bitrate. During recent years, the rapid development of the Large Multimodal Model (LMM) has made it possible to balance these two go...Show More

MISC: Ultra-Low Bitrate Image Semantic Compression Driven by Large Multimodal Model

Chunyi Li;Guo Lu;Donghui Feng;Haoning Wu;Zicheng Zhang;Xiaohong Liu;Guangtao Zhai;Weisi Lin;Wenjun Zhang

Year: 2025 | Volume: 34 | Journal Article |

Coarse-to-fine Transformer For Lossless 3D Medical Image Compression

Xiaoxuan Yang;Guo Lu;Donghui Feng;Zhengxue Cheng;Guosheng Yu;Li Song

2024 IEEE International Conference on Visual Communications and Image Processing (VCIP)
Year: 2024 | Conference Paper |
The rapid advancements in medical imaging have led to a growing demand for high-performance lossless compression of large 3D medical image datasets. Unlike natural images, medical images typically feature three-dimensional structures, and high bit-depth, necessitating specialized compression techniques. Based on a decoder-only transformer, we propose a learnable dual-decoder model for lossless com...Show More

Coarse-to-fine Transformer For Lossless 3D Medical Image Compression

Xiaoxuan Yang;Guo Lu;Donghui Feng;Zhengxue Cheng;Guosheng Yu;Li Song

Year: 2024 | Conference Paper |

AsymLLIC: Asymmetric Lightweight Learned Image Compression

Shen Wang;Zhengxue Cheng;Donghui Feng;Guo Lu;Li Song;Wenjun Zhang

2024 IEEE International Conference on Visual Communications and Image Processing (VCIP)
Year: 2024 | Conference Paper |
Learned image compression (LIC) methods often employ symmetrical encoder and decoder architectures, evitably increasing decoding time. However, practical scenarios demand an asymmetric design, where the decoder requires low complexity to cater to diverse low-end devices, while the encoder can accommodate higher complexity to improve coding performance. In this paper, we propose an asymmetric light...Show More

AsymLLIC: Asymmetric Lightweight Learned Image Compression

Shen Wang;Zhengxue Cheng;Donghui Feng;Guo Lu;Li Song;Wenjun Zhang

Year: 2024 | Conference Paper |

Long-Term and Short-Term Information Propagation and Fusion for Learned Video Compression

Shen Wang;Donghui Feng;Guo Lu;Zhengxue Cheng;Li Song;Wenjun Zhang

IEEE Transactions on Broadcasting
Year: 2024 | Volume: 70, Issue: 4 | Journal Article |
In recent years, numerous learned video compression (LVC) methods have emerged, demonstrating rapid developments and satisfactory performance. However, in most previous methods, only the previous one frame is used as reference. Although some works introduce the usage of the previous multiple frames, the exploitation of temporal information is not comprehensive. Our proposed method not only utilize...Show More

Long-Term and Short-Term Information Propagation and Fusion for Learned Video Compression

Shen Wang;Donghui Feng;Guo Lu;Zhengxue Cheng;Li Song;Wenjun Zhang

Year: 2024 | Volume: 70, Issue: 4 | Journal Article |

A Character Position-Aware Compression Framework for Screen Text Image

Chen Zhu;Guo Lu;Huanbang Chen;Donghui Feng;Shen Wang;Yan Zhao;Rong Xie;Li Song

IEEE Transactions on Circuits and Systems for Video Technology
Year: 2024 | Volume: 34, Issue: 9 | Journal Article |
Text patterns typically exhibit distinct boundaries and sparse color histograms. However, in current hybrid codec frameworks, the positions of coding units are often misaligned with the text patterns, resulting in prediction and color mapping tools consuming a large number of bits to indicate these patterns. Nowadays, some text detection and recognition methods have been proposed to accurately loc...Show More

A Character Position-Aware Compression Framework for Screen Text Image

Chen Zhu;Guo Lu;Huanbang Chen;Donghui Feng;Shen Wang;Yan Zhao;Rong Xie;Li Song

Year: 2024 | Volume: 34, Issue: 9 | Journal Article |

Content Adaptive Checkerboard Context Model for Learned Image Compression

Yiwei Zhang;Guo Lu;Donghui Feng;Chen Zhu;Li Song

2023 IEEE International Symposium on Circuits and Systems (ISCAS)
Year: 2023 | Conference Paper |
Cited by: Papers (2)
Learned image compression methods are becoming popular and have achieved excellent performance, of which joint context and hyperprior architectures are the mainstream. In order to avoid the time-consuming serial decoding pipeline introduced by the autoregressive context model, the checkerboard context model (CCM) is proposed to implement fast two-pass coding. However, CCM sets half of the latents ...Show More

Content Adaptive Checkerboard Context Model for Learned Image Compression

Yiwei Zhang;Guo Lu;Donghui Feng;Chen Zhu;Li Song

Year: 2023 | Conference Paper |

Position-based Motion Vector Prediction for Textual Image Coding

Donghui Feng;Chen Zhu;Guo Lu;Li Song

2022 Picture Coding Symposium (PCS)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
Textual content is becoming increasingly important in video conferencing, while existing screen content encoding tools still produce a high bitrate in text regions. The main coding tool Intra Block Copy (IBC) inherits the MV prediction mechanism in inter-frame coding, but the adjacent text characters typically have irrelevant MVs, making it inefficient to predict MV using only neighbor MVs. To sol...Show More

Position-based Motion Vector Prediction for Textual Image Coding

Donghui Feng;Chen Zhu;Guo Lu;Li Song

Year: 2022 | Conference Paper |

Complexity-Oriented Per-Shot Video Coding Optimization

Hongcheng Zhong;Jun Xu;Chen Zhu;Donghui Feng;Li Song

2022 IEEE International Conference on Multimedia and Expo (ICME)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
Current per-shot encoding schemes aim to improve the compression efficiency by shot-level optimization. It splits a source video sequence into shots and imposes optimal sets of encoding parameters on each shot. Per-shot encoding achieved approximately 20% bitrate savings over baseline fixed QP encoding at the expense of pre-processing complexity. However, the adjustable parameter space of the curr...Show More

Complexity-Oriented Per-Shot Video Coding Optimization

Hongcheng Zhong;Jun Xu;Chen Zhu;Donghui Feng;Li Song

Year: 2022 | Conference Paper |

Edge-Based Video Compression Texture Synthesis Using Generative Adversarial Network

Chen Zhu;Jun Xu;Donghui Feng;Rong Xie;Li Song

IEEE Transactions on Circuits and Systems for Video Technology
Year: 2022 | Volume: 32, Issue: 10 | Journal Article |
Cited by: Papers (10)
It has been recognized that texture patterns with abundant high-frequency components, such as grass and water, produce visual masking effects, and the distortion in textures is hard to be perceived by human eyes than structure regions. However, modern video codecs in a rate-distortion optimized manner usually consume a lot of bits to encode textures, leading to the insufficiency in perceptual codi...Show More

Edge-Based Video Compression Texture Synthesis Using Generative Adversarial Network

Chen Zhu;Jun Xu;Donghui Feng;Rong Xie;Li Song

Year: 2022 | Volume: 32, Issue: 10 | Journal Article |

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