New High-Quality Edge-Sensing Joint Demosaicing and Zooming Algorithm for Color Filter Array
Date Issued
2008
Date
2008
Author(s)
Chen, Pang-Yen
Abstract
This thesis presents a new high-quality joint demosaicing and zooming algorithm for digital cameras, each equipped with a single CCD/CMOS sensor and a color filter array (CFA). According to the proposed adaptive heterogeneity projection masks and Sobel- and interpolation-based masks, we can extract edge information in terms of the direction of variation and the gradient directly and accurately from the mosaic image, and these extracted more accuratedge information will be utilized to enhance the zooming quality.ased on twenty-four popular testing mosaic images, our proposed high-quality zooming algorithm has better image quality performance in terms of two objective color image quality measures, the color peak signal-to-noise ratio and the S-CIELAB metric, and one subjective color image quality measure, the color artifacts, when compared to several previous zooming algorithms.
Subjects
Adaptive heterogeneity projection
Color filter array
Demosaicing algorithm
Digital cameras
Edge information
Mosaic images
Sobel operator
Spectral-spatial correlation
Zooming
Type
thesis
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