A Secure Tunable-Precision Architecture for Image Processing Applications

被引：0

作者：

Nayak, Ankita Manjunath ^{[1
]}

Vemuri, Ranga ^{[1
]}

机构：

[1] Univ Cincinnati, Dept Elect Engn & Comp Syst, Digital Design Environm Lab, Cincinnati, OH 45221 USA

来源：

2018 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE) | 2018年

关键词：

Precision tuning; Image processing; Secure authentication;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Numerous applications involving image and audio presentations, such as video games, can be made available to consumers with varying levels of precision or resolution based on the level of authorization. This paper presents a novel tunable-precision architecture for digital systems. In this architecture, computational precision can be tuned across a large number of modes. A user can pay for and receive a key that unlocks one of the modes of precision which in turn enables a certain level of audio/image presentation and user experience. We present the secure tunable-precision architecture and an image processing application to demonstrate its usage.

引用

页数：5

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