Edge enhancement and feature modulation based network for light field depth estimation

IF 3.5 2区 工程技术 Q2 OPTICS Optics and Lasers in Engineering Pub Date : 2024-10-30 DOI:10.1016/j.optlaseng.2024.108662
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Abstract

Estimating depth from light field images is a critical issue in light field applications. While learning-based methods have made significant strides in light field depth estimation, achieving high accuracy and speed simultaneously remains a major challenge. This paper proposes a light field depth estimation network based on edge enhancement and feature modulation, which significantly improves depth estimation results by emphasizing inter-view correlations while preserving image edge features. Specifically, to prioritize edge details, we introduce an Edge-Enhanced Cost Constructor (EECC) that integrates edge information with existing cost constructors to improve depth estimation performance in complex areas. Furthermore, most light field depth estimation networks utilize only sub-aperture images (SAIs) without considering the inherent angular information in macro-pixel image (MacPI). To address this limitation, we propose the MacPI-Guided Feature Modulation (MGFM) module, which leverages angular information between different views in MacPI to modulate features at each view. Experimental results show that our method not only performs excellently on synthetic datasets but also demonstrates outstanding generalization on real-world datasets, achieving a better balance between accuracy and computation speed.
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基于边缘增强和特征调制的光场深度估算网络
从光场图像中估计深度是光场应用中的一个关键问题。虽然基于学习的方法在光场深度估计方面取得了长足进步,但同时实现高精度和高速度仍是一大挑战。本文提出了一种基于边缘增强和特征调制的光场深度估算网络,在保留图像边缘特征的同时,强调视图间的相关性,从而显著改善深度估算结果。具体来说,为了优先考虑边缘细节,我们引入了边缘增强成本构造器(EECC),将边缘信息与现有的成本构造器整合在一起,以提高复杂区域的深度估计性能。此外,大多数光场深度估计网络只利用子孔径图像(SAI),而不考虑宏像素图像(MacPI)中固有的角度信息。为了解决这一局限性,我们提出了 MacPI 引导的特征调制(MGFM)模块,该模块利用 MacPI 中不同视图之间的角度信息来调制每个视图的特征。实验结果表明,我们的方法不仅在合成数据集上表现出色,而且在真实世界数据集上也表现出突出的通用性,在准确性和计算速度之间实现了更好的平衡。
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来源期刊
Optics and Lasers in Engineering
Optics and Lasers in Engineering 工程技术-光学
CiteScore
8.90
自引率
8.70%
发文量
384
审稿时长
42 days
期刊介绍: Optics and Lasers in Engineering aims at providing an international forum for the interchange of information on the development of optical techniques and laser technology in engineering. Emphasis is placed on contributions targeted at the practical use of methods and devices, the development and enhancement of solutions and new theoretical concepts for experimental methods. Optics and Lasers in Engineering reflects the main areas in which optical methods are being used and developed for an engineering environment. Manuscripts should offer clear evidence of novelty and significance. Papers focusing on parameter optimization or computational issues are not suitable. Similarly, papers focussed on an application rather than the optical method fall outside the journal''s scope. The scope of the journal is defined to include the following: -Optical Metrology- Optical Methods for 3D visualization and virtual engineering- Optical Techniques for Microsystems- Imaging, Microscopy and Adaptive Optics- Computational Imaging- Laser methods in manufacturing- Integrated optical and photonic sensors- Optics and Photonics in Life Science- Hyperspectral and spectroscopic methods- Infrared and Terahertz techniques
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