Scene recovery with detail-preserving

IF 3.4 3区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Signal Processing-Image Communication Pub Date : 2025-01-17 DOI:10.1016/j.image.2025.117266

Tingting Wu , Xinru Wang , Jun Liu , Tieyong Zeng

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引用次数: 0

Abstract

Images captured in sandstorms, hazy, snowy or underwater conditions often suffer from poor visibility. This is mainly due to the presence of atmospheric particles that scatter light. Based on the assumption of highly linear correlation between

S_{n u}

and the observed intensity

I

, we first estimate the scattering map

\tilde{t}

by projecting the input image

I

onto the unified spectrum

S_{n u}

. We then apply the weighted guided image filter to make the corresponding transmission map

t

more accurate so that details and textures of the input image can be better recovered. Since the atmospheric light

A

is also critical to the scene recovery, we propose to use the quad-tree subdivision to extract a correct

A

. The quantitative and qualitative evaluations are reported in the numerical experiments. Compared with some SOTA methods, the images recovered by our method exhibit better visibility while preserving details.

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保留细节的场景恢复

在沙尘暴、雾霾、大雪或水下条件下拍摄的图像通常能见度很低。这主要是由于大气粒子的存在散射光。基于Snu与观测强度I高度线性相关的假设，我们首先通过将输入图像I投影到统一光谱Snu上估计散射图t /。然后应用加权引导图像滤波器使相应的传输图更精确，从而更好地恢复输入图像的细节和纹理。由于大气光A对场景恢复也至关重要，我们建议使用四叉树细分来提取正确的A，并在数值实验中进行了定量和定性评价。与一些SOTA方法相比，该方法在保留细节的同时，恢复的图像具有更好的可见性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Signal Processing-Image Communication 工程技术-工程：电子与电气

CiteScore

8.40

自引率

2.90%

发文量

138

审稿时长

5.2 months

期刊介绍： Signal Processing: Image Communication is an international journal for the development of the theory and practice of image communication. Its primary objectives are the following: To present a forum for the advancement of theory and practice of image communication. To stimulate cross-fertilization between areas similar in nature which have traditionally been separated, for example, various aspects of visual communications and information systems. To contribute to a rapid information exchange between the industrial and academic environments. The editorial policy and the technical content of the journal are the responsibility of the Editor-in-Chief, the Area Editors and the Advisory Editors. The Journal is self-supporting from subscription income and contains a minimum amount of advertisements. Advertisements are subject to the prior approval of the Editor-in-Chief. The journal welcomes contributions from every country in the world. Signal Processing: Image Communication publishes articles relating to aspects of the design, implementation and use of image communication systems. The journal features original research work, tutorial and review articles, and accounts of practical developments. Subjects of interest include image/video coding, 3D video representations and compression, 3D graphics and animation compression, HDTV and 3DTV systems, video adaptation, video over IP, peer-to-peer video networking, interactive visual communication, multi-user video conferencing, wireless video broadcasting and communication, visual surveillance, 2D and 3D image/video quality measures, pre/post processing, video restoration and super-resolution, multi-camera video analysis, motion analysis, content-based image/video indexing and retrieval, face and gesture processing, video synthesis, 2D and 3D image/video acquisition and display technologies, architectures for image/video processing and communication.