DeLECA：用双分支多模态交叉注意机制消除长曝光和短曝光图像的模糊

IF 4.2 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

ICT Express Pub Date : 2025-08-01 DOI:10.1016/j.icte.2025.06.003

Keunho Byeon, Jeewoo Lim, Jin Tae Kwak

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引用次数: 0

摘要

模糊图像通常是由相机抖动或物体运动引起的，使视觉检查和物体识别变得复杂。为了解决这个问题，我们提出了DeLECA，这是一种双支路变压器架构，它利用长曝光时间获得的对模糊图像和短曝光时间捕获的噪声图像的互补性，以提高模糊图像的质量和清晰度。我们使用两个公共数据集GoPro和HIDE来评估DeLECA。实验结果表明，DeLECA优于现有方法，在GoPro数据集上的PSNR为36.08 dB， SSIM为0.965，在HIDE数据集上的PSNR为40.05 dB， SSIM为0.972。

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DeLECA: Deblurring for Long and short Exposure images with a dual-branch multimodal cross attention mechanism

Blurred images often result from camera shake or object motion, complicating the visual inspection and recognition of objects. To address this issue, we propose DeLECA, a dual-branch Transformer architecture that leverages the complementary nature of the paired blurred images, obtained with long-exposure times, and noisy images, captured with short exposure times, to improve the quality and sharpness of the blurred images. We evaluate DeLECA using two public datasets, GoPro and HIDE. Experimental results show that DeLECA outperforms existing methods, achieving PSNR of 36.08 dB and SSIM of 0.965 on the GoPro dataset, and 40.05 dB and 0.972 on the HIDE dataset.

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来源期刊

ICT Express Multiple-

CiteScore

10.20

自引率

1.90%

发文量

167

审稿时长

35 weeks

期刊介绍： The ICT Express journal published by the Korean Institute of Communications and Information Sciences (KICS) is an international, peer-reviewed research publication covering all aspects of information and communication technology. The journal aims to publish research that helps advance the theoretical and practical understanding of ICT convergence, platform technologies, communication networks, and device technologies. The technology advancement in information and communication technology (ICT) sector enables portable devices to be always connected while supporting high data rate, resulting in the recent popularity of smartphones that have a considerable impact in economic and social development.