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Pinhole-array-based hand-held light field cameras can be used to capture 4-dimensional light field data for different applications such as digital refocusing and depth estimation. Our previous experiences suggest the design of the pinhole array mask is very critical to the performance of the camera, and the selection of mask parameters could be very different between applications. In this paper, we...
Parabolic motion cameras are used to obtain better deblurring results of scenes with multiple moving objects. The core of its deblurring process is Iterative Re-weighted Least Squares (IRLS) method. In this paper, we design a hardware accelerator for IRLS flow. The ASIC chip is implemented using TSMC 90 nm technology. It is capable of deblurring a 640 × 480 image captured by a parabolic camera with...
Light field raw data collected from a camera array require large storage space on disks. To compress light field data, sparse representation is regarded as one of the top choices. In this paper, we design an Orthogonal Matching Pursuit (OMP) processor to improve computing time for finding sparse representation. The chip operates at 400 MHz and achieves 5 times speed-up when compared to the software...
In this paper, we propose a hardware compatible queue-based image segmentation algorithm for refining initial depth maps obtained from light field cameras. In the algorithm, an array is created to record the ranges of positions and intensities of possible segments, which make following segment merging steps much more efficient. An ASIC chip based on the proposed algorithm with a plane fitting calculator...
Depth estimation is one of the new functions provided by hand-held light field cameras. However, the quality of depth estimation is very sensitive to noise, which is especially a problem for scenes under low light conditions. In this paper, we propose a depth estimation flow for light field data, which can be fully-automated and no noise characteristics are required a priori. The results of Root Mean...
In this paper, we propose a hardware-compatible depth estimation algorithm for 4-D light field data. Compared to previous sub-image-based approaches, the proposed pixel-based method can provide depth maps with higher resolution since multiple disparity numbers can be assigned to different objects sharing the same sub-image. We also implement a hardware accelerator based on the proposed algorithm using...
In this paper, depth estimation of light field data obtained from the pinhole-masked camera system is proposed. In the first approach, the sharpness of objects in the refocused images is evaluated using the FFT method, from which an empirical formula can be obtained to estimate the depth of objects. The second method uses the raw data in sub-images to calculate an index, Average Absolute Difference...
In this paper, a computational photography system is utilized to sample 4D light fields. The system is implemented using a normal DSLR camera with a mask printed using Kodak LVT technique. We reconfigure the camera by inserting a pinhole array mask in front of the sensors. The mask blocks part of light and samples the rest that passes through the pinholes. With these 4D light field data, the refocused...
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