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Obfuscated Hardware Accelerators for Image Processing Filters-Application Specific and Functionally Reconfigurable Processors

delete2020-11-01
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A
Anirban Sengupta *
M
Mahendra Rathor
DOI:10.1109/TCE.2020.3027760delete
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摘要

摘要

En 中文
Hardware accelerators are widely used as computationally-intensive cores in consumer electronics (CE) applications. However security and speed of such hardware accelerators, that are responsible for computing data-intensive tasks, play an important role in improving consumer experience in terms of safety and performance. This article presents novel low power multi-modal hardware accelerator architectures viz. application specific processor and functionally reconfigurable processor for image processing filter of 3 x 3 kernel matrix size. In the proposed functionally reconfigurable processor of 3 x 3 filter, the same design can be used for five different image processing filters - blurring, sharpening, vertical embossment, horizontal embossment and Laplace edge detection, by varying control input. Further, application specific processor designs of these five types of 3 x 3 filters are also presented in this article. Additionally, application specific processor architecture of 5 x 5 filter kernel matrix size is also reported in this article. The results confirm that the proposed hardware accelerators achieve strong security and low design cost.
Keyword:
Hardware
Image processing
Kernel
Information filters
Trojan horses
Convolution
Filter kernel
obfuscation
hardware accelerator
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期刊

IEEE Transactions on Consumer Electronics 封面图
IEEE Transactions on Consumer Electronics
IF:
10.9
论文数:
5.3K
被引数:
6.8K

机构

I
indian institute of technology system (iit system)
学者数:
9.5W
论文数: 9.9W
被引数: 93
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