Color filter array demosaicing: an adaptive progressive interpolation based on the edge type

Qiqi Dong; Zhaohui Liu

doi:10.1117/12.2199330

8 October 2015 Color filter array demosaicing: an adaptive progressive interpolation based on the edge type

Qiqi Dong, Zhaohui Liu

Proceedings Volume 9675, AOPC 2015: Image Processing and Analysis; 967518 (2015) https://doi.org/10.1117/12.2199330
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China

Abstract

Color filter array (CFA) is one of the key points for single-sensor digital cameras to produce color images. Bayer CFA is the most commonly used pattern. In this array structure, the sampling frequency of green is two times of red or blue, which is consistent with the sensitivity of human eyes to colors. However, each sensor pixel only samples one of three primary color values. To render a full-color image, an interpolation process, commonly referred to CFA demosaicing, is required to estimate the other two missing color values at each pixel. In this paper, we explore an adaptive progressive interpolation based on the edge type algorithm. The proposed demosaicing method consists of two successive steps: an interpolation step that estimates missing color values according to various edges and a post-processing step by iterative interpolation.

Citation Download Citation

Qiqi Dong and Zhaohui Liu "Color filter array demosaicing: an adaptive progressive interpolation based on the edge type", Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 967518 (8 October 2015); https://doi.org/10.1117/12.2199330

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