Paper Info
Title
Emulate Large Sensor Array Of Handheld Digital Camera
Abstract
The digital cameras can be easily integrated with other handheld devices in one single chip. For hardware size and cost consideration, the camera sensor array of the PDAs or the cellular phones is therefore limited. However, as the demanding of better image quality is increasing, the producer needs to employ large sensor array for higher image resolutions. Therefore, how to emulate large sensor array to raise resolutions is a key problem to these devices. In this paper, a novel enlargement method on Bayer pattern has been presented. We introduce a unified image processing scheme which effectively interpolates the sensor array directly for a higher resolution. The unified image processing scheme can also lead to efficient hardware implementations. Unlike traditional enlargement methods which operate only within a color plane, our method utilizes the relationship between the distinct channel color differences of neighbors and the non-cross weighting-based approach. Experimental results indicate the proposed method has the ability to emulate efficiently larger sensor array from the relation of color difference over local region and edge-sensing weight coefficients. The proposed algorithm gives sharp edges over the enlarged image without color-bleeding artifacts. Both subjective visual evaluation and objective performance measurement demonstrate the effectiveness of the proposed method.
Year
DOI
Venue
2006
10.1109/ICASSP.2006.1661301
2006 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-13
Keywords
Field
DocType
image resolution,hardware,image processing,image sensors,image resolutions,sensor array,bayer pattern,chip,image quality,handheld device
Bayer filter,Computer vision,Image sensor,Computer science,Sensor array,Visual sensor network,Image quality,Image processing,Digital camera,Artificial intelligence,Image resolution
Conference
ISSN
Citations 
PageRank 
1520-6149
0
0.34
References 
Authors
3
2
Name
Order
Citations
PageRank
T. Lin172467.09
Yennan Shen210.69