Low Light Image Enhancement Using Color Transfer Automotive Appliance

Format:

Conference/Event

Author/Creator:

Gangadharan, Gangadharan, author.

Contributor:

Kutty, Krishnan

Mani, Shanmugaraj

Conference Name:

SAE 2015 World Congress & Exhibition (2015-04-21 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2015

Summary:

AbstractAdvanced Driver Assistance System (ADAS) in combination with other active safety features like air bags et cetera is gaining popularity. Vision based ADAS systems perform well under ideal lighting, illumination and environmental conditions. However, with change in illumination and other lighting related factors, the effectiveness of vision based ADAS systems tend to deteriorate. Under conditions of low light, it is therefore important to develop techniques that would offset the effects of low illumination and generate an image that appears as if it were taken under ideal lighting conditions. To accomplish this, we have developed a method, that uses local color statistics from the host image with low illumination, and enhance the same using an adaptive color transfer mechanism. By taking cues from the properties of ideal images that are saved in a database, the proposed method tends to recreate the input scene (with low illumination), into a near ideal scene, based on the database images. Visual and quantitative evaluation of our method confirms that it performs well under very low light conditions as well, where standard algorithms tend to fail

Notes:

Vendor supplied data

Publisher Number:

2015-01-0312

Access Restriction:

Restricted for use by site license