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While efficient simulators for Time-Multiplexing Cellular Neural Networks have been reported, no reports on implementations in FPGA have been presented. A Time-Multiplexing Cellular Neural Network is implemented within a FPGA for image processing. The network has been used to perform tasks, such as edge detection and noise remover over several test templates. Implementation results are compared with...
Due to energy efficiency, heterogeneous computing is gaining more and more attention. Since FPGA implementations are time consuming, high-level synthesis (HLS) is used to close the productivity gap. OpenCL has become accepted as a good programming model for HLS, due to its portability, good capability of design verification and rich instruction set. This work implements different optimization strategies...
Efficient detection and reliable matching of image features constitute a fundamental task in computer vision. When real-time operation is required, the solution to this problem becomes a real challenge, because of increased processing requirements. Scale Invariant Feature Transform (SIFT) is considered as a stable and robust algorithm for the extraction of invariant features, however special hardware...
Visual attention modelling characterises the scene to segment regions of visual interest and is increasingly being used as a pre-processing step in many computer vision applications including surveillance and security. Smart camera architectures are an emerging technology and a foundation of security and safety frameworks in modern vision systems. In this paper, we present a dataflow design of a visual...
The toolflow presented in this demo was created to generate CGRA overlay architectures from either algorithm definitions (mainly for evaluation) or from a simple definition format. The output of the toolchain is always the complete definition of the hardware in VHDL and supplemental files providing information regarding the configuration and the interfaces of the created hardware. In the demo, we...
The use of image processing is being accelerated over the past years in areas, including artificial intelligence, medical field, remote sensing and microscopic imaging. For 3D reconstruction of the objects, deflectometry is used to collect topographic information of surfaces. Due to computationally intensive nature of the algorithm, the execution time is one of the challenges faced by the deflectometry...
The paper discusses the application of System on Chip devices for processing Megapixel video streams. The domain of image processing using high resolution images is very demanding in the scope of calculating power and frequently exploits special processing hardware. The progress of integration technology brings about SoC which are capable of meeting such processing demands. Characteristics of FPGA...
An architecture capable of performing the inverse Tone Mapping to convert a Low Dynamic Range image into a High Dynamic Range one is proposed. The proposed image processor is specifically designed for a Field Programmable Gate Array implementation. The design exploits the presence of specific blocks in the Field Programmable Logic board, dedicated to the implementation of memories, in order to develop...
This paper presents a SCORBOT-ER III type robotic arm which can be controlled only with an FPGA board. The robotic arm is an industrial/educational robotic arm which can execute a high number of tasks, but instead of a computer, only an FPGA development board is the control system. The robotic arm can be used also as a Sun tracker robotic arm. If the position of the sun in tracked the solar panel's...
Image processing has gained its popularity over the recent years in areas, such as computer vision, artificial intelligence and automation. Deflectometry image processing technique is developed to inspect defects on reflecting surfaces. FPGA offers flexibility by employing reconfigurability, and furthermore, provides parallelization and pipelining to improve latency and execution time. The performance...
The traditional ortho-rectification technique for remotely sensed imagery, which is performed on the basis of ground image processing platform, has been unable to meet the timeliness requirements. To solve this problem, this paper presents the research on ortho-rectification technique based on field programmable gate array (FPGA) platform, which can be implemented onboard and spaceborne for a real-time...
With the invention of IoT, the image processing is reaching upto a distinct level as IoT is becoming a major part of every one life. These systems are creating many applications in image processing field such as image filtering and processing. The realization of this system was completed by means of a low cost ZedBoard Zynq 7000 FPGA and a Raspberry-pi. The output for the input image after processing...
Field Programmable Gate Arrays (FPGAs) excel at the implementation of local operators in terms of throughput per energy since the off-chip communication can be reduced with an application-specific on-chip memory configuration. Furthermore, data-level parallelism can efficiently be exploited through socalled loop coarsening, which processes multiple horizontal pixels simultaneously. Moreover, existing...
Advanced driving assistance systems (ADAS) have developed in widespread use for traffic safety, they must include mechanisms functioning in bad weather conditions. However, the rain reduces visibility and degrade the effectiveness of computer vision algorithm when they are vision-based methods. We propose an orientation-adaptive non-local mean (OA-NLM) filter algorithm to further improve rain removal...
A new Application Specific Image Processor for the enhancement of the dynamic range of medical images is presented, capable to process images at different resolutions up to 4K. An algorithm has been derived, adapted and tailored for the specific hardware design, in order to adapt the complexity of the processor to required performances or to constraints of different field programmable platforms. The...
Neuromorphic systems mimic the functionality and communication protocol of biological neurons with efforts to design the most size and power efficient computing systems. We demonstrate the capability of an in-house neural array of 4080 Mihalas-Niebur neurons designed in 0.5μm CMOS technology to perform various event-based image processing tasks including warping and filtering.
Cell-based sensor expressing odorant receptor with fluorescent imaging has a potential for realization of high performance odor sensing system. In this study, we developed digital lock-in detection system for 2-dimensional data such as an image. Since the system has many digital lock-in amplifiers on field programmable gate array and process the image stream from a commercially available image sensor,...
In this paper, hardware implementation of edge detection at real time video signals using Sobel, Robert, Prewitt and Laplacian filters based on FPGA is explained. Besides, filters are compared in many ways. Edge detection is an elemantary and fundamental tool for image segmentation and feature extraction. Very high speed hardware like FPGA's are used to implement the image and video processing algorithms...
With the increase of technological developments, the speed limit of the processors that have emerged has accelerated the reduction of nanotechnological solutions of transistors into atomic dimensions from nanometers. Physical systems in which stochastic computation is critical instead of deterministic computation by taking action from atomic behavior are discussed. For this reason, as an interdisciplinary...
In order to achieve real-time processing of the image with high frame rate and high resolution, the image processing system has been required to have higher data transmission bandwidth and data processing capacity. Multi-core DSP is used as the key processor to solve the problem of data transmission and processing bottleneck, which the current image processing platforms are facing. The characteristics...
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