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GVLD: A Fast and Accurate GPU-Based Variational light-field Disparity Estimation Approach

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2021年第7期31卷 2562-2574页

作者： Tran, Trung-Hieu Mammadov, Gasim Simon, Sven Univ Stuttgart Inst Parallel & Distributed Syst D-70569 Stuttgart Germany

Disparity estimation is an essential task taking part in many light-field applications. Due to the complexity of algorithms and high dimensional property of light-field data, performing this task involves a significant computational effort and results in very long processing time on CPU. Graphics processing units (GPUs), which is capable of massively parallel processing, is a promising solution to cover the computation requirement and speed up the task. In this paper, we develop a GPU-accelerated approach for light-field disparity estimation using a variational computation framework (GVLD). Our algorithm combines the intrinsic sub-pixel precision of variational formulation and the effectiveness of weighted median filtering to produce a highly accurate solution. The proposed algorithm is fully parallelized and optimized for the implementation using the OpenCL framework. An intensive evaluation including a quantitative comparison to related works and a detailed analysis of the proposed approach's performance is presented. Experimental results demonstrate our superior performance compared to state-of-the-art approaches. The proposed approach is 10+ times faster than other approaches running on a similar GPU platform and provides the most accurate solution among optimization-based approaches. Compared to the implementation running on CPU, our GPU-accelerated method achieves up to 365x speed up.

关键词： Disparity estimation light-field image processing GPU acceleration OpenCL

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High-Accuracy Correction of a Microlens Array for Plenoptic Imaging Sensors

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SENSORS 2019年第18期19卷 3922页

作者： Li, Suning Yuan, Yuan Gao, Ziyi Tan, Heping Harbin Inst Technol Sch Energy Sci & Engn Minist Ind & Informat Technol Key Lab Aerosp Thermophys Harbin 150001 Heilongjiang Peoples R China

Microlens array (MLA) errors in plenoptic cameras can cause the confusion or mismatching of 4D spatio-angular information in the image space, significantly affecting the accuracy and efficiency of target reconstruction. In this paper, we present a high-accuracy correction method for light fields distorted by MLA errors. Subpixel feature points are extracted from the microlens subimages of a raw image to obtain correction matrices and perform registration of the corresponding subimages at a subpixel level. The proposed method is applied for correcting MLA errors of two different categories in light-field images, namely form errors and orientation errors. Experimental results show that the proposed method can rectify the geometric and intensity distortions of raw images accurately and improve the quality of light-field refocusing. Qualitative and quantitative comparisons between images before and after correction verify the performance of our method in terms of accuracy, stability, and adaptability.

关键词： plenoptic camera microlens array error correction light-field image processing

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_Rectification of images Distorted by Microlens Array Errors in Plenoptic Cameras

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SENSORS 2018年第7期18卷 2019-2019页

作者： Li, Suning Zhu, Yanlong Zhang, Chuanxin Yuan, Yuan Tan, Heping Harbin Inst Technol Sch Energy Sci & Engn 92 West Dazhi St Harbin 150001 Heilongjiang Peoples R China Harbin Inst Technol Minist Ind & Informat Technol Key Lab Aerosp Thermophys 92 West Dazhi St Harbin 150001 Heilongjiang Peoples R China

A plenoptic cameras is a sensor that records the 4D light-field distribution of target scenes. The surface errors of a microlens array (MLA) can cause the degradation and distortion of the raw image captured by a plenoptic camera, resulting in the confusion or loss of light-field information. To address this issue, we propose a method for the local rectification of distorted images using white light-field images. The method consists of microlens center calibration, geometric rectification, and grayscale rectification. The scope of its application to different sized errors and the rectification accuracy of three basic surface errors, including the overall accuracy and the local accuracy, are analyzed through simulation of imaging experiments. The rectified images have a significant improvement in quality, demonstrating the provision of precise light-field data for reconstruction of real objects.

关键词： plenoptic camera microlens array distortion rectification calibration light-field image processing

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