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Efficient real time hardware co-simulation for image enhancement applications

机译:高效的实时硬件用于图像增强应用的硬件共模

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Image enhancement techniques improve the visibility of the images. Enhancement results, the output image is more suitable for a specific application rather than input image. It is used in many image processing applications like medical imaging, SONAR and RADAR as a preprocessing step. Hence this paper presents the hardware co-simulation and implementation of image enhancement algorithms into FPGA. Recent improvements in synthesis tools for Simulink suggest a feasible high-level approach to algorithm implementation for embedded DSP systems. The proposed work gives the implementation of efficient edge detection, negative image and image thresholding on Field Programmable Gate Array (FPGA) using Matlab and Simulink.
机译:图像增强技术提高了图像的可见性。增强结果,输出图像更适合于特定应用而不是输入图像。它用于许多图像处理应用,如医学成像,声纳和雷达,作为预处理步骤。因此,本文介绍了将图像增强算法的硬件共模和实现进入FPGA。 Simulink的综合工具的最新改进表明了嵌入式DSP系统的算法实现的可行的高级方法。所提出的工作通过MATLAB和Simulink提供了在现场可编程门阵列(FPGA)上的有效边缘检测,负图像和图像阈值。

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