Multi-frame super-resolution recovers a high-resolution (HR) image from a sequence of low-resolution (LR) images. In this paper, we propose an algorithm that performs multi-frame super-resolution in an online fashion....
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Multi-frame super-resolution recovers a high-resolution (HR) image from a sequence of low-resolution (LR) images. In this paper, we propose an algorithm that performs multi-frame super-resolution in an online fashion. This algorithm processes only one low-resolution image at a time instead of co-processing all LR images which is adopted by state-of-the-art super-resolution techniques. Our algorithm is very fast and memory efficient, and simple to implement. In addition, we employ a noise-adaptive parameter in the classical steepest gradient optimization method to avoid noise amplification and overfitting LR images. Experiments with simulated and real-image sequences yield promising results.
In this article, we present a neurologically motivated computational architecture for visual information processing. The computational architecture's focus lies in multiple strategies: hierarchical processing, par...
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In this article, we present a neurologically motivated computational architecture for visual information processing. The computational architecture's focus lies in multiple strategies: hierarchical processing, parallel and concurrent processing, and modularity. The architecture is modular and expandable in both hardware and software, so that it can also cope with multisensory integrations - making it an ideal tool for validating and applying computational neuroscience models in real time under real-world conditions. We apply our architecture in real time to validate a long-standing biologically inspired visual object recognition model, HMAX. In this context, the overall aim is to supply a humanoid robot with the ability to perceive and understand its environment with a focus on the active aspect of real-time spatiotemporal visual processing. We show that our approach is capable of simulating information processing in the visual cortex in real time and that our entropy-adaptive modification of HMAX has a higher efficiency and classification performance than the standard model (up to similar to+6 %).
Facing the drawback existing in the Stand-alone imageprocessing software, the article proposes a web-based online image processing software architecture, and make use of the advanced imageprocessing technology of ja...
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ISBN:
(纸本)9780769536828
Facing the drawback existing in the Stand-alone imageprocessing software, the article proposes a web-based online image processing software architecture, and make use of the advanced imageprocessing technology of java Applet and JAI to achieve. Detailed introducing and analysis the programming development method of JAI advanced imageprocessing technology and Applet plug-in implementation process. At the same time, combining the actual research work, Appling the system to the low-resolution remote sensing image distributed processing system, Application results show that the system has a feature of good Practicality, multi-platform and security, which can fit different needs of distributed image process.
Facing the drawback existing in the Stand-alone imageprocessing software,the article proposes a web-based online image processing software architecture,and make use of the advanced imageprocessing technology of java...
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Facing the drawback existing in the Stand-alone imageprocessing software,the article proposes a web-based online image processing software architecture,and make use of the advanced imageprocessing technology of java Applet and JAI to *** introducing and analysis the programming development method of JAI advanced imageprocessing technology and Applet plug-in implementation *** the same time,combining the actual research work,Appling the system to the low-resolution remote sensing image distributed processing system,Application results show that the system has a feature of good Practicality,multi-platform and security,which can fit different needs of distributed image process.
Internet has been employed as an efficient avenue for the dissemination of a variety of geospatial information. However, the distribution of the geospatial processing capabilities over the Internet, especially those r...
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ISBN:
(纸本)0780387422
Internet has been employed as an efficient avenue for the dissemination of a variety of geospatial information. However, the distribution of the geospatial processing capabilities over the Internet, especially those related to geospatial imageprocessing, is still lacking. Many, customized solutions based on CORBA (Component Object Request Broker Architecture) and DCOM (Distributed Component Object Model) have been developed to deliver geoprocessing functionality online but they are often designed to operate on specific datasets and they cannot interact with other online data sources easily. Geoprocessing is usually, achieved through it series of steps. The inability Of these solutions to support generic online data makes it impossible to chain with other systems to perform sequential processing. The inseparability of data and geoprocessing functionality of these online solutions has limited their usability. To achieve the separation between online data suppliers and geospatial processing functionality, a framework of geoprocessing web services is proposed in this research. An onlineimage geometric rectification web service is developed as an example. This web service allows the images to be rectified and transformed into a known geographic projection (with map coordinates). The reference images or maps with known projection can be obtained from a data supplier web service. The users of the client application can identify ground control points (GCPs) from both the reference digital map/image and the local input image. The proposed image geometric rectification web service then performs the actual rectification based on these GCPs and returns to the client application the transformation parameters. estimated through a least square solution. Due to the use of industry standard technologies such like XML, SOAP, WSDL, and UDDI to build geoprocessing web services, it is possible to distribute the geoprocessing capabilities in a platform and language independent manner o
It is often the case that only a few sparse sequences of long videos from scientific underwater surveys actually contain important information for the expert. Locating such sequences is time consuming and tedious. A s...
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It is often the case that only a few sparse sequences of long videos from scientific underwater surveys actually contain important information for the expert. Locating such sequences is time consuming and tedious. A system that automatically detects those critical parts, online or during post-mission tape analysis, would alleviate the expert workload and improve data exploitation. In this paper, a methodology for evaluating the performance of such a system on real data is presented. Interesting sequences are started by changes of visual context. An algorithm to detect significant context changes in benthic videos in real time has been presented by Lebart et al. in 2000. It is used as an illustration for this methodology-its performance is studied and benchmarked on real underwater data, ground truthed by an expert biologist. Various issues relating to the complexity of the problems of automatically analyzing underwater video are also discussed.
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