基于聚焦堆栈视差维超分辨的视差估计方法  

Disparity Estimation Method Based on Focal Stack Disparity Dimension Super-Resolution

作　　者：王昱凯 刘畅[1] 邱钧[1] Wang Yukai;Liu Chang;Qiu Jun(Institute of Applied Mathematics,Beijing Information Science and Technology University,Beijing 100101,China)

机构地区：[1]北京信息科技大学应用数学研究所,北京100101

出　　处：《光学学报》2023年第19期163-175,共13页Acta Optica Sinica

基　　金：国家自然科学基金(62171044,61931003);北京市自然科学基金(4222004);北京信息科技大学“勤信人才”培育计划(QXTCPB202105)。

摘　　要：聚焦堆栈数据受到视差维分辨率低的限制,导致由聚焦堆栈数据估计的视差的精度低、鲁棒性差。从聚焦堆栈数据的视差维频谱优化出发,引入聚焦堆栈视差维滤波器,提出基于视差维滤波的聚焦堆栈视差维超分辨方法,实现高精度的稠密视差估计。通过聚焦堆栈的频谱分析,选取巴特沃斯滤波作为视差维滤波器,实现聚焦堆栈数据高保真的视差维超分辨。利用视差维超分辨后的稠密聚焦堆栈,基于Robust focus volume regularization(RFV)算法实现稠密、高精度视差估计。模拟数据与实际数据实验结果表明:视差维滤波能够实现高效的视差维超分辨和高精度的稠密视差估计。Objective Focal stack is a projection domain representation model of the four-dimensional(4D)light field,which can be used in disparity estimation,light field reconstruction,extended depth of field imaging,and other fields.The accuracy and robustness of computational imaging based on focal stack data depend on the disparity dimensional resolution of the focal stack data.There are two ways to obtain focal stack images.The first one is to directly capture them on multiple disparity planes by imaging equipment,and the second one is to use digital refocusing methods to generate multiple images of different disparity layers.As capturing focal stack images by the imaging equipment needs to set the focal length and other parameters beforehand,and the focal stack with high quality and high disparity resolution can only be obtained by strictly controlling the imaging plane during the capturing process,while the digital refocusing method requires 4D light field data,resulting in computational redundancy.In view of the problem of insufficient resolution of disparity dimension in focal stack data,a method of focal stack super-resolution in disparity dimension was proposed.According to the disparity dimension spectrum optimization of the focal stack data,we proposed the focal stack disparity dimension filter and the disparity dimension super-resolution method of the focal stack data to estimate the disparity with high accuracy and robustness.Methods The focal stack spectrum contains the disparity dimension spectrum,whereby focal stack data can be processed in the disparity dimension.In this paper,based on the disparity dimension spectrum optimization of focal stack data,a focal stack disparity dimension filter was introduced,and a focal stack disparity dimension super-resolution method based on disparity dimension filtering was then proposed to achieve high-precision and dense disparity estimation.Through the spectral analysis of the focal stack,the Butterworth filter was selected as the disparity dimension filter to achieve

关 键 词：聚焦堆栈 视差维滤波 视差维超分辨 视差估计 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]