ABSTRACT
A single sensor provided with a color filter array (CFA)
format looks like a mosaic image. Each pixel in the image
contains a primary color, red, green and blue, arranged
alternately. Most previous interpolation and zooming
techniques for CFA image utilize the gradient and the
spatial information of the neighborhood color pixels around
the interpolation positions. However, their characteristics of
imaging color are not reconsidered. This paper proposes a
new idea for CFA image interpolation and zooming
techniques. The color characteristics such as the edgeweighted
adaptive filtering (EWAF) and the edge
modification are used to interpolate and spatially enlarge the
images in order to reconstruct the original full-color images.
The proposed method yields both objective and subjective
image quality measurement. The experimental results show
improved visualization of the images over the conventional
methods. The evaluated performance is higher PSNR 1-2
dB.