DLS: dynamic backlight luminance scaling of liquid crystal display
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
HEBS: Histogram Equalization for Backlight Scaling
Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
DTM: dynamic tone mapping for backlight scaling
Proceedings of the 42nd annual Design Automation Conference
Perception-guided power minimization for color sequential displays
GLSVLSI '06 Proceedings of the 16th ACM Great Lakes symposium on VLSI
Backlight dimming in power-aware mobile displays
Proceedings of the 43rd annual Design Automation Conference
EMSOFT '08 Proceedings of the 8th ACM international conference on Embedded software
Power Management in Mobile Devices
Power Management in Mobile Devices
HVS-aware dynamic backlight scaling in TFT-LCDs
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
EMSOFT '09 Proceedings of the seventh ACM international conference on Embedded software
Object-based local dimming for LCD systems with LED BLUs
Proceedings of the 17th IEEE/ACM international symposium on Low-power electronics and design
A survey of context data distribution for mobile ubiquitous systems
ACM Computing Surveys (CSUR)
Online OLED dynamic voltage scaling for video streaming applications on mobile devices
Proceedings of the Ninth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis
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With the trend toward high-quality large form factor displays on high-end handhelds, LCD backlight accounts for a significant and increasing percentage of the total energy budget. Substantial energy savings can be achieved by dynamically adapting backlight intensity levels while compensating for the ensuing visual quality degradation with image pixel transformations. Several compensation techniques have been recently developed to this purpose, but none of them has been fully characterized in terms of quality losses considering jointly the non-idealities present in a real embedded video chain and the peculiar characteristics of the human visual system (HVS). We have developed a quality analysis framework based on an accurate embedded visualization system model and HVS-aware metrics. We use it to assess the visual quality performance of existing dynamic backlight scaling (DBS) solutions. Experimental results show that none of the DBS techniques available today is fully capable of keeping quality loss under control, and that there is significant room for improvement in this direction.