Abstract
There is a trade-off between spatial resolution and angular resolution limits in light field applications; various targeted algorithms have been proposed to enhance angular resolution while ensuring high spatial resolution simultaneously, which is also called view synthesis. Among them, depth estimation-based methods can use only four corner views to reconstruct a novel view at an arbitrary location. However, depth estimation is a time-consuming process, and the quality of the reconstructed novel view is not only related to the number of the input views, but also the location of the input views. In this paper, we explore the relationship between different input view selections with the angular super-resolution reconstruction results. Different numbers and positions of input views are selected to compare the speed of super-resolution reconstruction and the quality of novel views. Experimental results show that the speed of the algorithm decreases with the increase of the input views for each novel view, and the quality of the novel view decreases with the increase of the distance from the input views. After comparison using two input views in the same line to reconstruct the novel views between them, fast and accurate light field view synthesis is achieved.
Highlights
Light field cameras can record angular and spatial information of a scene simultaneously [1]
We found that the algorithm is slow because each novel view requires four input views to participate in the calculation
The process of view synthesis is divided into four steps: prepare depth features, The process of view synthesis is divided into four steps: depth features, evaluate depth net, prepare color features, andprepare evaluate color net
Summary
Light field cameras can record angular and spatial information of a scene simultaneously [1]. The micro-lens array is the core of the light field camera, and it is the difference between a light field camera and a traditional camera. The fabrication methods of the micro-lens array can be divided into direct and indirect ones. Direct methods include the reflow methods [2,3], ink-jet printing technique [4,5], etc. The direct methods are simple, but it is difficult to control the accuracy of the micro-lens array. Direct methods include methods based on a micro-electro-mechanical system [7,8] and methods using ultra-precision machining [9,10]. The indirect methods can effectively control the shape accuracy of the micro-lens array
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