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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 study, an image segmentation algorithm for processing Next-Generation Sequencing (NGS) fluorescence data is proposed. In NGS applications, fluorescent spots are randomly distributed, the number of spots is large, and the sizes of these spots are small. All the characteristics make the conventional segmentation algorithm not as efficient. To speed up the segmentation process, we propose a hardware-compatible...
Next-generation sequencing (NGS) has been widely applied to biological and medical researches for its efficient production of DNA short reads nowadays. Among various applications, de novo sequence assembly is a technique using NGS short reads to obtain a whole genome with no reference. To make assembly results accurate, it is a common practice to filter out low-quality data at the early stage of the...
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...
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...
Due to the thirst for bandwidth resource and the limitation of device size, mobile GPUs face more challenges than their desktop counterparts do when seeking realistic visual quality. To alleviate the severely restricted situation mobile GPUs in, we propose a new universal buffer compression method to handle both color and depth data with the same hardware unit. While the previous state-of-the-arts...
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