Title :
Dynamic local contrast enhancement for advanced driver assistance system in harsh environments
Author :
Sheng-Wei Hsu ; Guan-Yu Chen ; Po-Chun Shen ; Chao-Yi Cho ; Jiun-In Guo
Author_Institution :
Nat. Chiao-Tung Univ., Hsinchu, Taiwan
Abstract :
This paper presents a Dynamic Local Contrast Enhancement (DLCE) method, which can strengthen the image quality in most of inclement weather conditions. This improves unnatural image over-enhancement, reduce noise, make image more saturated, and can be applied on foggy day and night. DLCE reaches 50 fps D1 resolution and 120 fps CIF resolution on ATOM 1.6GHz in TREK-668 embedded platform.
Keywords :
driver information systems; image enhancement; image resolution; CIF resolution; D1 resolution; DLCE; TREK-668 embedded platform; advanced driver assistance system; dynamic local contrast enhancement; frequency 1.6 GHz; harsh environments; image quality; noise reduction; unnatural image over-enhancement; Adaptive equalizers; Computer vision; Flowcharts; Histograms; Image quality; Meteorology; Pattern recognition;
Conference_Titel :
Consumer Electronics - Taiwan (ICCE-TW), 2014 IEEE International Conference on
Conference_Location :
Taipei
DOI :
10.1109/ICCE-TW.2014.6904105
