In order to assist the National imagery Transmission Format Standard (NITFS) Technical Board (NTB) in selecting new BWC algorithm(s), evaluations of candidate image compression algorithms were performed on the basis o...
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ISBN:
(纸本)081941543X
In order to assist the National imagery Transmission Format Standard (NITFS) Technical Board (NTB) in selecting new BWC algorithm(s), evaluations of candidate image compression algorithms were performed on the basis of objective and subjective image quality performance, bit rate control, susceptibility to channel errors, and complexity of implementation. Based on these evaluations, which were conducted under the guidance of the NTB, it was concluded that the ISO/JPEG DCT compression algorithm was the most suitable for the NITFS purpose even though two proprietary sub-band coding techniques generally performed better in subjective image quality. Moreover, it was decided that three algorithms would be further evaluated at very low bit rates where the ISO/JPEG DCT does not perform optimally.
This paper discusses the postflight ground processingalgorithms for the Midcourse Space Experiment (MSX) Spatial Infrared Imaging Telescope (SPIRIT) iii radiometer data. The algorithm suite consists of image processi...
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ISBN:
(纸本)0819415367
This paper discusses the postflight ground processingalgorithms for the Midcourse Space Experiment (MSX) Spatial Infrared Imaging Telescope (SPIRIT) iii radiometer data. The algorithm suite consists of imageprocessing and object tracking that produces object histories for postflight signature studies. The imageprocessing is centered around least squares estimators for single and multiple objects for classification and characterization of object parameters. Object-tracking algorithms are implemented to support association of objects across multiple scans by utilizing an adaptive nearest neighbor association technique. A discussion of the design requirements and performance of the implemented algorithms will be presented.
Application of a class of parallel processing architecture for implementation of imageprocessing and, more specifically, image pattern recognition is proposed. Noting the problem of optimally matching a wide variety ...
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Application of a class of parallel processing architecture for implementation of imageprocessing and, more specifically, image pattern recognition is proposed. Noting the problem of optimally matching a wide variety of possible processor configurations to a broad spectrum of different algorithms, a general framework for characterizing imageprocessingalgorithms is proposed, and the task of mapping the algorithm characteristics into processing system characteristics is begun. A simple image pattern recognition method is considered from this point of view. An algorithm is developed and alternative SIMD (single instruction stream - multiple data stream) parallel implementations are compared. Complexity analyses are presented to show the computational speedup made possible by the parallelism.
The first and most important link of the crop shear optimization system, profile tracking and recognition (PTR) for hot bar ends, is introduced in this paper. Several features in system architecture are described. In ...
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ISBN:
(纸本)081941543X
The first and most important link of the crop shear optimization system, profile tracking and recognition (PTR) for hot bar ends, is introduced in this paper. Several features in system architecture are described. In the design of software, several ways are proposed to speed up the processing. A unique set of algorithms for real-time image data processing in C language and assembler language is used. Different thresholding strategy in different position are useful for the system to be used in a hostile environment and with scales on the bar. Experimental results show that the system has high reliability and good anti-interference performances.
High performance vision systems have a complex architecture which makes them difficult to program. The objective of the ARVISA (Advanced Real-time VIsion System Architecture) project was to facilitate the programming ...
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ISBN:
(纸本)0780332598
High performance vision systems have a complex architecture which makes them difficult to program. The objective of the ARVISA (Advanced Real-time VIsion System Architecture) project was to facilitate the programming of such systems by providing an integrated application development environment. Its central component is the automatic Flow Control Planner (FCP). Using the FCP, imageprocessingalgorithms can be specified in a device-independent, functional manner. These specifications are then automatically transformed into an executable control program for the desired target device. By examining industrial vision applications, it has been shown that the results of automatic planning by the FCP are comparable to those of manual planning by human experts, but they are created in much less time. FCP thus offers a significant improvement of efficiency for the programming of real-time vision systems.
The task of autonomous navigation comprises several subtasks, each of which has very specific requirements for the perception system. In this paper, we analyze several of these subtasks from the perspective of compute...
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ISBN:
(纸本)0780344235
The task of autonomous navigation comprises several subtasks, each of which has very specific requirements for the perception system. In this paper, we analyze several of these subtasks from the perspective of computer vision, including (i) obstacle detection, (ii) terrain reconstruction, (iii) convoying, (iv) collision detection, and (v) road recognition. We delineate the issues associated with each subtask and outline algorithms to address each issue. Finally, we address the issue of implementation. We present the VFE-200 as a very powerful imageprocessing platform specifically designed for the implementation of autonomous mobility vision algorithms. We describe the architecture of the system, and how several key features make it ideally suited for hosting several government-sponsored autonomous mobility platforms such as MDARS-E, AUTONAV and Demo iii.
This paper proposes a high-performance down scaler to improve the quality of a down-scaled image using interpolation filter. It uses a non-linear phase property of the digital filter to reduce hardware complexity. The...
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This paper proposes a high-performance down scaler to improve the quality of a down-scaled image using interpolation filter. It uses a non-linear phase property of the digital filter to reduce hardware complexity. The implemented architecture is composed of four blocks: (i) line memory, (ii) vertical scaler with interpolation filter, (iii) horizontal scaler with interpolation filter, and (iv) FIFO. It has been fabricated by using 0.65 mu m CMOS process.
Since programmable platforms have a fixed number of resources, the number of algorithms that can run in parallel is limited We propose to overcome this by introducing scalable algorithms that are capable of trading re...
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ISBN:
(纸本)0780367251
Since programmable platforms have a fixed number of resources, the number of algorithms that can run in parallel is limited We propose to overcome this by introducing scalable algorithms that are capable of trading resource usage for output quality We show the feasibility of this approach by means of an implementation example, namely scalable sharpness enhancement for video signals.
This paper presents a flexible communication module for low-level as well as high-level imageprocessing operations. It allows a good separation of data communication and data processing and thereby reduces the necess...
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In this work we show the algorithms developed to extract the Cole parameters from multi-Frequency EIT. With these parameters it is possible to obtain information about various different tissues and their pathologies. ...
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In this work we show the algorithms developed to extract the Cole parameters from multi-Frequency EIT. With these parameters it is possible to obtain information about various different tissues and their pathologies. The algorithms developed obtain the Cole-model parameters from the real and imaginary parts of impedance, or using only the real part, without problems of convergence. A study of the influence of noise is performed with simulations. We find a correct solution in all cases with signal to noise ratio in the data higher than 40 dB. Finally, we show parametric images of the human abdomen obtained with these algorithms.
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