Introduction to algorithms
Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Bus-invert coding for low-power I/O
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
System-level power optimization of special purpose applications: the beach solution
ISLPED '97 Proceedings of the 1997 international symposium on Low power electronics and design
Exploiting the locality of memory references to reduce the address bus energy
ISLPED '97 Proceedings of the 1997 international symposium on Low power electronics and design
A coding framework for low-power address and data busses
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Energy-efficient bus encoding for LCD displays
Proceedings of the 14th ACM Great Lakes symposium on VLSI
Limited intra-word transition codes: an energy-efficient bus encoding for LCD display interfaces
Proceedings of the 2004 international symposium on Low power electronics and design
On-Chip Communication Architectures: System on Chip Interconnect
On-Chip Communication Architectures: System on Chip Interconnect
Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design
Hi-index | 0.00 |
This paper presents a low-power encoding technique, called chromatic encoding, for the Digital Visual Interface standard (DVI), a digital serial video interface. Chromatic encoding reduces power consumption by minimizing the transition counts on the DVI. This technique relies on the notion of tonal locality, i.e., the observation that the signal differences between adjacent pixels in images follow a Gaussian distribution. Based on this observation, an optimal code assignment is performed to minimize the transition counts. Furthermore, the three color channels of the DVI may be reciprocally encoded to achieve even more power saving. The idea is that given the signal values from the three color channels, one or two of these channels are encoded by reciprocal differences with a number of redundant bits used to indicate the selection. The proposed technique requires only three redundant bits for each 24-bit pixel. Experimental results show up to a 75% transition reduction.