Title :
Image Restoration Preprocessing for Low Light Auto-Focusing in Digital Cameras
Author :
Gamadia, Mark ; Kehtarnavaz, Nasser
Author_Institution :
Univ. of Texas at Dallas, Richardson
Abstract :
The performance of passive auto-focus (AF) systems suffers when operating under low-lighting conditions due to the flatness of the sharpness function. In this paper, an adaptive noise reduction method prior to AF sharpness filter is introduced for the purpose of elevating the suppressed peak in the sharpness function . Experimental results show that the use of adaptive noise reduction preprocessing enables focusing at lower lux levels as compared to non-adaptive noise reduction preprocessing.
Keywords :
cameras; image restoration; optical filters; optical focusing; adaptive noise reduction; auto-focus sharpness filter; digital cameras; image restoration preprocessing; low light auto-focusing; passive auto-focus systems; Adaptive filters; Boosting; Digital cameras; Fluctuations; Focusing; Image restoration; LED lamps; Noise reduction; Nonlinear filters; Signal to noise ratio; Low-light auto-focus; adaptive noise reduction preprocessing; auto-focus sharpness function; cell-phone cameras; digital still cameras;
Conference_Titel :
Consumer Electronics, 2007. ISCE 2007. IEEE International Symposium on
Conference_Location :
Irving, TX
Print_ISBN :
978-1-4244-1109-2
Electronic_ISBN :
978-1-4244-1110-8
DOI :
10.1109/ISCE.2007.4382161
