Joint demosaicking and integer-ratio downsampling algorithm for color filter array image

Sangyoon Lee; Moon Gi Kang

doi:10.1117/12.2083177

16 March 2015 Joint demosaicking and integer-ratio downsampling algorithm for color filter array image

Sangyoon Lee, Moon Gi Kang

Proceedings Volume 9399, Image Processing: Algorithms and Systems XIII; 93990A (2015) https://doi.org/10.1117/12.2083177
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

Abstract

This paper presents a joint demosacking and integer-ratio downsampling algorithm for color filter array (CFA) images. Color demosaicking is a necessary part of image signal processing to obtain full color image for digital image recording system using single sensor. Also, such as mobile devices, the obtained image from sensor has to be downsampled to be display because the resolution of display is smaller than that of image. The conventional method is “Demosaicking first and downsampling later”. However, this procedure requires a significant hardware resources and computational cost. In this paper, we proposed a method in which demosaicking and downsampling are working simultaneously. We analyze the Bayer CFA image in frequency domain, and then joint demosaicking and downsampling with integer-ratio scheme based on signal decomposition of luma and chrominance components. Experimental results show that the proposed method produces the high quality performance with much lower com putational cost and less hardware resources.

Citation Download Citation

Sangyoon Lee and Moon Gi Kang "Joint demosaicking and integer-ratio downsampling algorithm for color filter array image", Proc. SPIE 9399, Image Processing: Algorithms and Systems XIII, 93990A (16 March 2015); https://doi.org/10.1117/12.2083177

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