Search Results for author: JunMing Hou

Found 7 papers, 4 papers with code

Underwater Organism Color Enhancement via Color Code Decomposition, Adaptation and Interpolation

1 code implementation29 Sep 2024 Xiaofeng Cong, Jing Zhang, Yeying Jin, JunMing Hou, Yu Zhao, Jie Gui, James Tin-Yau Kwok, Yuan Yan Tang

ColorCode offers three key features: 1) color enhancement, producing an enhanced image with a fixed color; 2) color adaptation, enabling controllable adjustments of long-wavelength color components using guidance images; and 3) color interpolation, allowing for the smooth generation of multiple colors through continuous sampling of the color code.

Image Enhancement

A Comprehensive Survey on Underwater Image Enhancement Based on Deep Learning

no code implementations30 May 2024 Xiaofeng Cong, Yu Zhao, Jie Gui, JunMing Hou, DaCheng Tao

Underwater image enhancement (UIE) presents a significant challenge within computer vision research.

Disentanglement UIE

Linearly-evolved Transformer for Pan-sharpening

1 code implementation19 Apr 2024 JunMing Hou, ZiHan Cao, Naishan Zheng, Xuan Li, Xiaoyu Chen, Xinyang Liu, Xiaofeng Cong, Man Zhou, Danfeng Hong

In this way, our proposed method is capable of benefiting the cascaded modeling rule while achieving favorable performance in the efficient manner.

Probing Synergistic High-Order Interaction in Infrared and Visible Image Fusion

1 code implementation CVPR 2024 Naishan Zheng, Man Zhou, Jie Huang, JunMing Hou, Haoying Li, Yuan Xu, Feng Zhao

To bridge this gap we introduce a Synergistic High-order Interaction Paradigm (SHIP) designed to systematically investigate spatial fine-grained and global statistics collaborations between infrared and visible images across two fundamental dimensions: 1) Spatial dimension: we construct spatial fine-grained interactions through element-wise multiplication mathematically equivalent to global interactions and then foster high-order formats by iteratively aggregating and evolving complementary information enhancing both efficiency and flexibility.

Infrared And Visible Image Fusion

DDRF: Denoising Diffusion Model for Remote Sensing Image Fusion

no code implementations10 Apr 2023 ZiHan Cao, ShiQi Cao, Xiao Wu, JunMing Hou, Ran Ran, Liang-Jian Deng

Denosing diffusion model, as a generative model, has received a lot of attention in the field of image generation recently, thanks to its powerful generation capability.

Denoising Image-to-Image Translation +1

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