A secure tunable-precision architecture for image processing applications
Ankita Nayak, Ranga R. Vemuri · 2018
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.