Regular Articles

Novel quality-effective zooming algorithm for color filter array

[+] Author Affiliations
Kuo-Liang Chung

National Taiwan University of Science and Technology, Department of Computer Science and Information Engineering, No. 43, Section 4, Keelung Road, Taipei, Taiwan 10672

Wei-Jen Yang

National Taiwan University of Science and Technology, Department of Computer Science and Information Engineering, No. 43, Section 4, Keelung Road, Taipei, Taiwan 10672

Jun-Hong Yu

National Taiwan University, Graduate Institute of Networking and Multimedia, No. 1, Section 4, Roosevelt Road, Taipei, Taiwan 10617

Wen-Ming Yan

National Taiwan University, Department of Computer Science and Information Engineering, No. 1, Section 4, Roosevelt Road, Taipei, Taiwan 10617

Chiou-Shann Fuh

National Taiwan University, Graduate Institute of Networking and Multimedia and Department of Computer Science and Information Engineering, No. 1, Section 4, Roosevelt Road, Taipei, Taiwan 10617

J. Electron. Imaging. 19(1), 013005 (February 23, 2010). doi:10.1117/1.3302126
History: Received February 06, 2009; Revised November 18, 2009; Accepted December 11, 2009; Published February 23, 2010; Online February 23, 2010
Text Size: A A A

Mosaic images are captured by a single charge-coupled device/complementary metal-oxide-semiconductor (CCD/CMOS) sensor with the Bayer color filter array. We present a new quality-effective zooming algorithm for mosaic images. First, based on adaptive heterogeneity projection masks and Sobel- and luminance-estimation-based masks, more accurate gradient information is extracted from the mosaic image directly. According to the extracted gradient information, the mosaic green (G) channel is first zoomed. To reduce color artifacts, instead of directly moving the original red (R) value to its right position and the blue (B) value to its lower position, the color difference interpolation is utilized to expand the G-R and G-B color difference values. Finally, the zoomed mosaic R and B channels can be constructed using the zoomed G channel and the two expanded color difference values; afterward, the zoomed mosaic image is obtained. Based on 24 popular test mosaic images, experimental results demonstrate that the proposed zooming algorithm has more than 1.79dB quality improvement when compared with two previous zooming algorithms, one by Battiato et al. (2002) and the other by Lukac et al. (2005).

© 2010 SPIE and IS&T

Citation

Kuo-Liang Chung ; Wei-Jen Yang ; Jun-Hong Yu ; Wen-Ming Yan and Chiou-Shann Fuh
"Novel quality-effective zooming algorithm for color filter array", J. Electron. Imaging. 19(1), 013005 (February 23, 2010). ; http://dx.doi.org/10.1117/1.3302126


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.