Modern society depends heavily on satellite infrastructure. However, Space becomes more and more congested by space debris from over 50 years of space activities. This growing threat in orbit must be monitored. The ai...
Modern society depends heavily on satellite infrastructure. However, Space becomes more and more congested by space debris from over 50 years of space activities. This growing threat in orbit must be monitored. The aim of the ESA GSTP activity "Optical In-Situ Monitor" is to design and test a breadboard of a space-based space debris camera and to develop and test its end-to-end processing chain. The on-board processing functions will focus on the payload imageprocessing in order to reduce the data volume (image segmentation for streak detection). The suitable technologies for the processing units will be described: the HPDP, an ARM-Cortex R5F processor and Microsemi's RTG4 FPGA. For imageprocessing, several algorithms were tested extensively: the CCSDS 122.0-B-1, the Boundary Tensor and the Differences Method. This paper shows the current state of the project and gives an overview of what activities still need to be tackled before finalization. The final step of the project will be to decide which combination of processor-algorithm yields the best results.
In this paper, various contrast and low-light image enhancement methods are described and classified into three categories: I) histogram-based, ii) transmission map-based, and iii) retinexbased. The performance of the...
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In the paper we present a method for increasing the quality of views synthesized with typical Depth-image-Based Rendering (DIBR) view synthesis algorithms. In the proposed idea the resolution of input real views and c...
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ISBN:
(纸本)9781509063444
In the paper we present a method for increasing the quality of views synthesized with typical Depth-image-Based Rendering (DIBR) view synthesis algorithms. In the proposed idea the resolution of input real views and corresponding depth maps is doubled before the view synthesis. After the synthesis, the resolution of a synthesized view is downsampled back to the original resolution. This approach is transparent for the view synthesis algorithms, thus can be used with any DIBR method. In the paper, tests for two synthesis algorithms (the state-of-the-art MPEG reference software and our view synthesis method) are presented. For both algorithms, the proposed upsampling improves objective and subjective quality of synthesized views.
The current advances in hardware led to the development of the GPGPU (General-purpose computing on graphics processing units) paradigm. Thus, nowadays, the GPU (Graphics processing Unit) is used not only for graphics ...
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ISBN:
(纸本)9788394625375
The current advances in hardware led to the development of the GPGPU (General-purpose computing on graphics processing units) paradigm. Thus, nowadays, the GPU (Graphics processing Unit) is used not only for graphics programming, but also for general purpose algorithms. This paper discusses several methods regarding the use of CUDA (Compute Unified Device Architecture) for 2D and 3D imageprocessing techniques. Some general rules for writing parallel algorithms in computer vision are pointed out. A theoretic comparison between the complexity for CPU (Central processing Unit) and GPU implementations of imageprocessingalgorithms is given. Also, real computing times are provided for several algorithms in order to point out the actual performance gain of using the GPU over CPU. The factors that contribute to the difference between theoretic and real performance gain are also discussed.
When people can't get close to identify the number of instruments, the digital area on the display screen can only be transmitted to the computer by the camera, and the digital recognition is realized through the ...
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When people can't get close to identify the number of instruments, the digital area on the display screen can only be transmitted to the computer by the camera, and the digital recognition is realized through the computer's related software and algorithms. After image pre-processing operations, such as geometric correction, gray-scale, threshold and corrosion expansion, the projection method is used to segment the image and the number is identified by the sewing method. Compared with the traditional method of digital recognition, the efficiency of the sewing method is very high. The combination features of the horizontal and vertical thread of the image is used to complete the cascade classification after the character preprocessing operation. In the digital image acquisition and recognition system based on sewing method, 4320 numbers are identified and tested, of which an average of 122 digits can be handled per second. This method performs well in processing speed, recognition accuracy and anti-interference.
Optical Coherence Tomography Angiography (OCT-A) represents a new modality of ophthalmological imaging that stands out for being a non-invasive capture technique that facilitates the analysis of the vascular character...
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Optical Coherence Tomography Angiography (OCT-A) represents a new modality of ophthalmological imaging that stands out for being a non-invasive capture technique that facilitates the analysis of the vascular characteristics of the eye fundus. In this paper, we propose a complete automatic methodology that identifies the vascular and avascular zones in OCT-A images, quantifying each one of them for their posterior use in clinical analyses and diagnostic processes. To achieve this, we firstly intensify the vascular characteristics to facilitate the posterior extraction. Then, a set of imageprocessing techniques are combined to differentiate both vascular and avascular regions and, finally, measure their representative parameters. The proposed methodology was tested on a set of images that were marked by an expert ophthalmologist, being used as reference in the validation of the method. The proposed approach presented satisfactory results in the validation experiments with the vascular and avascular measurements, demonstrating their utility for the diagnosis and monitoring of different vascular diseases that are frequently analysed through the retinal micro-circulation. (C) 2018 The Authors. Published by Elsevier Ltd.
This paper is devoted to the research of bitmap imageprocessing based on wavelet functions. The Daubechies wavelet function was used as a mathematical model for filtering, compression and smoothing of two-dimensional...
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This paper is devoted to the research of bitmap imageprocessing based on wavelet functions. The Daubechies wavelet function was used as a mathematical model for filtering, compression and smoothing of two-dimensional signals, because the analysis of existing wavelet functions showed that the Daubechies wavelet family is most effective for imageprocessing. OpenMP parallel programming in C/C++ was used for the parallelization of computing processes in imageprocessing problems.
The rapid development of digital imageprocessing technology enables all imageprocessing problems to be solved in the form of digital signal processing,which provides a broad space for real-time imageprocessing *** ...
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The rapid development of digital imageprocessing technology enables all imageprocessing problems to be solved in the form of digital signal processing,which provides a broad space for real-time imageprocessing *** are a large number of mature fast algorithms in digital signal processing,such as FFT,FHT,*** algorithms have been widely used in image *** with the traditional PC imageprocessing technology,ARM's embedded imageprocessing technology has the most remarkable advantages:the embedded system has a small size,low power consumption,low cost,and high ***,this paper studies ARM-based imageprocessing system.
In many image and video processingalgorithms, pre-processing filters are the first and most important step. These filters reduce the noise present in the images, preserving the required information depending on the a...
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In many image and video processingalgorithms, pre-processing filters are the first and most important step. These filters reduce the noise present in the images, preserving the required information depending on the action performed. Due to increasing demands for real time processingsystems, the traditional software solutions cannot be chosen. In this paper, we are introducing a new hardware architecture for imageprocessing filters, which are optimized to increase the speed of processing, which is vital for real time systems. The decision based algorithm used for optimizing the median filter helps in avoiding corruption of original pixels and the hardware optimization used for the Gaussian filter reduces the required computations, making it faster. The proposed architecture is simulated in ModelSim and the simulation results are presented.
We present "conversational image editing", a novel real-world application domain combining dialogue, visual information, and the use of computer vision. We discuss the importance of dialogue incrementality i...
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