An innovative development environment for the generation of libraries of routines for digital signal processing (DSP) is presented. Significant aspects of this environment are advanced user friendliness and the wide p...
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An innovative development environment for the generation of libraries of routines for digital signal processing (DSP) is presented. Significant aspects of this environment are advanced user friendliness and the wide portability of the results. These resources allow the user to implement new algorithms quickly and to use the software on different systems. The environment allows the user to implement algorithms by writing mathematical formula expressions with onscreen graphic representation and generates the corresponding source-code routines in a highly portable language. The C language was selected for its wide diffusion and portability.
In this paper, the comparison between deep learning methods and feature extraction algorithms is presented. The principle of Grey-Level Co-occurrence Matrix (GLCM) and its modifications are used for our research. The ...
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ISBN:
(纸本)9781728175393
In this paper, the comparison between deep learning methods and feature extraction algorithms is presented. The principle of Grey-Level Co-occurrence Matrix (GLCM) and its modifications are used for our research. The main idea was to design a method for the description of combined features and textures. The texture classification process is carried out with the robust support vector machine classifier (SVM). We compare these feature extraction methods with proposed Convolutional Neural Networks (CNN). This proposed network contains 25 layers. Finally, the all evaluation and comparison of color texture retrieval results for all used methods are presented. The all feature extraction algorithms and proposed CNN have been tested on two different color texture datasets (Outex and Vistex datasets).
Searching a global optimum point in a multimodal performance surface is unavoidable in many DSP applications and, in these cases, the algorithms based on gradient estimation such as the method of steepest decent are u...
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ISBN:
(纸本)0780301502
Searching a global optimum point in a multimodal performance surface is unavoidable in many DSP applications and, in these cases, the algorithms based on gradient estimation such as the method of steepest decent are unsuitable. To overcome this problem, a random search algorithm which we called 2-D Genetic Optimizer Algorithm (2-D GOA) is developed in this paper. In addition, to illustrate the advantage of 2-D GOA, an application of this algorithm in sequence image coding is given also.
In this paper, a general philosophy about feature windows based applications and a windows-based application are presented for analysis, algorithm development, testing and validation studies for Signal, image and Data...
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ISBN:
(纸本)0819428949
In this paper, a general philosophy about feature windows based applications and a windows-based application are presented for analysis, algorithm development, testing and validation studies for Signal, image and Data processing (SIDP) for Space-Based Surveillance (SBS) Applications. This dedicated facility is called AUG_SIDP. It performs several specialized tasks such as blur estimation, restoration, CFAR detection, clutter modeling, registration, pixel and data level fusion, target tracking and classification. It is still in the development and testing phase.
Computational advancement impacts directly on the technology of imageprocessing. image Quality assessment (IQA) is an area where almost all imageprocessing researchers are impressed and publishing their research wor...
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ISBN:
(纸本)9781479966387
Computational advancement impacts directly on the technology of imageprocessing. image Quality assessment (IQA) is an area where almost all imageprocessing researchers are impressed and publishing their research work frequently. Since the imageprocessing required sophisticated computation and analysis in both the cases of task oriented images and non task oriented images, several algorithms and their analysis were required. In this paper, a survey of existing objective IQA literature review was presented and some discussion on available database has been reported. Paper also works on development of database using three types of variation and four types of distortion in each variation. As a result twelve varieties of images and one original were studied in this paper. Authors selected eleven objective image quality algorithms and evaluated index of image quality of above generated database. Simulation results and tabulation of evaluation are also presented in this paper. A comparative studies of algorithms in respect to speed and index performance were presented.
Multi-beam scanning electron microscopy (MBSEM), has been developed to reduce the acquisition time by scanning multiple pixels simultaneously. The signal from the 14 x 14 beams is captured on a camera which reads out ...
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ISBN:
(纸本)9781467395557
Multi-beam scanning electron microscopy (MBSEM), has been developed to reduce the acquisition time by scanning multiple pixels simultaneously. The signal from the 14 x 14 beams is captured on a camera which reads out the position and intensity for each beam on the sample. But as we work with multiple beams and pixels we need a powerful technique for image acquisition and imageprocessingalgorithms. We use Field Programmable Gate Arrays (FPGA's), often used as an implementation platform for real time image acquisition and processing applications, because their structure is able to exploit spatial and temporal parallelism. This paper presents a technique for dealing with the various constraints of the camera and efficient mapping for image acquisition and processing operations on FPGA.
The optimization of existing sewer systems or making new systems is and will remain one of the key issues in drainage management in our society. The problem consists of minimization of a nonlinear cost function subjec...
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The MWIR imaging systems developed by L-3 Communications Cincinnati Electronics (L-3 CE) include several video processingalgorithms designed to provide enhanced imagery that meets a variety of military and other appl...
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ISBN:
(纸本)0819457671
The MWIR imaging systems developed by L-3 Communications Cincinnati Electronics (L-3 CE) include several video processingalgorithms designed to provide enhanced imagery that meets a variety of military and other application requirements. When IR imaging systems are confronted with varying IR conditions, video processingalgorithms are designed and selected to optimize human interpretation of specific scene details. The Visual Difference Predictor model has been used and a derived image Enhancement Score has been developed to provide an objective metric to evaluate the effects of processingalgorithms on imagery. Comparing the image Enhancement Score of the processed image gives an objective measure of the success of the video processing algorithm being evaluated. This paper will describe selected algorithms in the L-3 CE Video processing Suite, evaluate them against several test scenes and present associated image Enhancement Scores. These will include a novel local contrast enhancement, general sharpening, and display mapping algorithms. Finally, the direction of ongoing and future efforts in Video processing Suite development will be discussed.
Most of imageprocessingsystems have been designed independent of image contents. Now, evolving computation power is making the "image-dependent" elegant algorithms possible to get the better color image re...
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ISBN:
(纸本)0892082380
Most of imageprocessingsystems have been designed independent of image contents. Now, evolving computation power is making the "image-dependent" elegant algorithms possible to get the better color image renditions. This paper introduces our recent approaches to quality and pleasant imaging based on image-dependence. The key technologies are represented by segmentation and multiscale. The source colors are transformed to the preferred reference colors in the segmented sub-spaces better than in the entire space. The spatial filtering works better if the multi-scale kernel is selected than a fixed single kernel. The typical applications of these key technologies are presented.
The efficient hardware implementation of signal processingalgorithms requires a rigid characterization of the interdependencies between system parameters and hardware costs. Pure software simulation of bit-true imple...
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The efficient hardware implementation of signal processingalgorithms requires a rigid characterization of the interdependencies between system parameters and hardware costs. Pure software simulation of bit-true implementations of algorithms with high computational complexity is prohibitive because of the excessive runtime. Therefore, we present a field-programmable gate array (FPGA) based hybrid hardware-in-the-loop design space exploration (DSE) framework combining high-level tools (e.g. MATLAB, C++) with a System-on-Chip (SoC) template mapped on FPGA-based emulation systems. This combination significantly accelerates the design process and characterization of highly optimized hardware modules. Furthermore, the approach helps to quantify the interdependencies between system parameters and hardware costs. The achievable emulation speedup using bit-true hardware modules is a key enabling the optimization of complex signal processingsystems using Monte Carlo approaches which are infeasible for pure software simulation due to the large required stimuli sets. The framework supports a divide-and-conquer approach through a flexible partitioning of complex algorithms across the system resources on different layers of abstraction. This facilitates to efficiently split the design process among different teams. The presented framework comprises a generic state of the art SoC infrastructure template, a transparent communication layer including MATLAB and hardware interfaces, module wrappers and DSE facilities. The hardware template is synthesizable for a variety of FPGA-based platforms. Implementation and DSE results for two case studies from the different application fields of synthetic aperture radar imageprocessing and interference alignment in communication systems are presented.
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