Jinyong Cheng — accepted AI-conference papers

2025

TDMF: Text-Guided Denoising and Interactive Medical Image Fusion

Aimei Dong, Jingyuan Xu, Long Wang, Guohua Lv, Guixin Zhao, Jinyong Cheng

ICASSP 2025accepted

Multimodal image fusion aims to merge features from different modalities to create a comprehensively representative image. However, existing medical image fusion methods often struggle to handle noise generated during image acquisition, significantly diminishing their impact on visual quality. To ad…

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2023

A Deep Fusion Rule for Infrared and Visible Image Fusion: Feature Communication for Importance Assessment

Xuran Lv, Jinyong Cheng, Guohua Lv, Zhonghe Wei

ICASSP 2023accepted

The purpose of infrared and visible image fusion is to extract and combine information from source images to produce results that contain vital and complementary information. Existing fusion rules may not extract the most useful information and cannot effectively retain important information. To sol…

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