Jan' 2022

Signal Processing Research Group at SiliconTech implements a novel method for improving real time dark images for better night driving performance

Human vision is limited in perceiving objects under darkness, in the presence of highly illuminated light sources. Due to this, night-time driving becomes somewhat hazardous because the drivers see darker regions while oncoming vehicles are projecting their high beams into their eyes. During the night, potholes and sometimes road dividers, speed breakers, and humps are not clearly visible to the driver, which can lead to serious road accidents. 

To mitigate that effect, the Signal Processing Research Group at SiliconTech has implemented a novel piecewise adaptive gamma correction method which produces a non-linear piecewise transfer function.

This method can enhance the darker objects to a relatively fair brightness level while in the meantime keeping the information content of the brighter regions intact without causing any unnatural effects. The current dark image enhancement algorithms can enhance the darker regions, but at the same time they tend to over-enhance the brighter regions and cause fading of the darker regions, which causes information loss.

This is an ongoing project initiated in January 2022, under the SRPS scheme.