TY - GEN
T1 - Image dependent energy-constrained local backlight dimming
AU - Burini, Nino
AU - Nadernejad, Ehsan
AU - Korhonen, Jari
AU - Forchhammer, Søren
AU - Wu, Xiaolin
PY - 2012/9
Y1 - 2012/9
N2 - In this work, we consider and propose two extensions to an optimization-based image dependent backlight dimming algorithm. The first extension introduces error weighting based on human perception of luminance, aiming to improve the perceived image quality; the second extension adds an adjustable term for power consumption to the cost function, allowing flexible power management. Experimental results show that the proposed solution can achieve better results than other algorithms at several power consumption levels.
AB - In this work, we consider and propose two extensions to an optimization-based image dependent backlight dimming algorithm. The first extension introduces error weighting based on human perception of luminance, aiming to improve the perceived image quality; the second extension adds an adjustable term for power consumption to the cost function, allowing flexible power management. Experimental results show that the proposed solution can achieve better results than other algorithms at several power consumption levels.
KW - Image quality
KW - Liquid crystal display
KW - Local backlight dimming
KW - Optimization
KW - Power management
UR - http://www.scopus.com/inward/record.url?scp=84875855804&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2012.6467480
DO - 10.1109/ICIP.2012.6467480
M3 - Published conference contribution
AN - SCOPUS:84875855804
SN - 9781467325332
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 2797
EP - 2800
BT - 2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
T2 - 2012 19th IEEE International Conference on Image Processing, ICIP 2012
Y2 - 30 September 2012 through 3 October 2012
ER -