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Innovative Color Interpolation Using Fuzzy Logic and Linear Regression

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To reduce the cost of digital cameras, the color filter array (CFA) is usually coated upon a single-chip image sensor. Each pixel of the image sensor can sense only one of the R, G and B colors under CFA. The two missing colors of a pixel are estimated using the CFA interpolation algorithm. The interpolation algorithm may generate color distortion and degrade the quality of interpolated images. In this paper, we propose a new algorithm “fuzzy logic and linear regression method (FLLRM)” to solve this problem.

We use fuzzy logic method based on the effect between pixels to avoid color distortion around the edges. The linear regression method is used to process the interaction effect among R, G and B channels. The proposed method can successfully eliminate false color, color moire, aliasing and color shifts in the full color camera output. Finally, we implement our method on the digital camera platform that is designed by Industrial Technology Research Institute (ITRI). The processed image shows a very good quality, which also demonstrates our approach is a better CFA interpolation algorithm than the previous processed methods.
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Document Type: Research Article

Publication date: January 1, 2005

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  • CIC is the premier annual technical gathering for scientists, technologists, and engineers working in the areas of color science and systems, and their application to color imaging. Participants represent disciplines ranging from psychophysics, optical physics, image processing, color science to graphic arts, systems engineering, and hardware and software development. While a broad mix of professional interests is the hallmark of these conferences, the focus is color. CICs traditionally offer two days of short courses followed by three days of technical sessions that include three keynotes, an evening lecture, a vibrant interactive (poster) papers session, and workshops. An endearing symbol of the meeting is the Cactus Award, given each year to the author(s) of the best interactive paper; there are also Best Paper and Best Student Paper awards.

    Please note: for Purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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