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With the rapid development of information technology and digital communication, the data types are more abundant by integration of various technologies. In this paper, based on the analysis of a large number of historical data of oil and water wells, the changes of some important parameters of the wells can be monitored and then used in the trend prediction and the early warning system. Subsequently,...
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...
Non-Photorealistic Rendering (NPR) for video sequences can be regarded as an extension of NPR for images. However, if the NPR sequence is obtained from a real video using an image processing pipeline, discontinuity problems have to be addressed, especially for the background region. In this paper, we propose to adopt Fast Video Segmentation algorithm to extract the common background in the video before...
With large companies and corporations becoming increasingly responsible for data collection, in recent years, a growing number of scientists have proposed using a variety of algorithms and different theories to solve the database problem. Even though existing solutions are effective in many cases many, problems are left to solve during the integration of database. The entity resolution (ER) is a crucial...
Image inpainting is a repairing method for missed or damaged area in the images. This field of image processing research is very active over recent years and many researchers work on it to create new methods or improve existing methods. Exemplar-based inpainting is one of them and dropping effect is a problem in this method that effect on inpainting results. In this article, a fuzzy method for solving...
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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