Title :
Low-Light Auto-Focus Enhancement for Digital and Cell-Phone Camera Image Pipelines
Author :
Gamadia, Mark ; Kehtarnavaz, Nasser ; Roberts-Hoffman, Katie
Author_Institution :
Univ. of Texas at Dallas, Dallas
fDate :
5/1/2007 12:00:00 AM
Abstract :
Images captured by a digital or cell-phone camera in low-light environments usually suffer from a lack of sharpness due to the failure of the camera´s passive auto-focus (AF) system to locate the peak in-focus position of a sharpness function that is extracted from the image. In low-light, the sharpness function becomes flat, making it quite difficult to locate the peak.In this paper, a systematic approach is introduced to address the problem of low-light AF by performing computationally simple image enhancement preprocessing steps as part of the image pipeline. These enhancement steps elevate the sharpness function peak, leading to auto-focusing in low-light conditions. A sharpness junction quality measure along with experimental guidelines are presented for determining the most prominent enhancement steps for low-light AF. The implementation results on an actual digital camera platform are also shown to demonstrate the effectiveness of our solution.
Keywords :
cameras; image enhancement; mobile handsets; auto- focus system; camera image pipelines; cell-phone camera; digital camera; image enhancement preprocessing; low-light auto-focus enhancement; peak in-focus position; sharpness function; Digital cameras; Focusing; Guidelines; Image enhancement; Image quality; Layout; Lenses; Light emitting diodes; Optoelectronic and photonic sensors; Pipelines;
Journal_Title :
Consumer Electronics, IEEE Transactions on
DOI :
10.1109/TCE.2007.381682