Practical implementation of LMMSE demosaicing using luminance and chrominance spaces
Computer Vision and Image Understanding
A joint demosaicking-zooming scheme for single chip digital color cameras
Computer Vision and Image Understanding
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
Demosaicking and zooming for color filter array via residual image reconstruction
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Color image demosaicking: An overview
Image Communication
A new approach to camera image indexing
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
On a generalized demosaicking procedure: a taxonomy of single-sensor imaging solutions
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part I
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A zooming framework suitable for single-sensor digital cameras is introduced and analyzed in this paper. The proposed framework is capable of zooming and enlarging data acquired by single-sensor cameras that employ the Bayer pattern as a color filter array (CFA). The approach allows for operations on noise-free data at the hardware level. Complexity and cost implementation are thus greatly reduced. The proposed zooming framework employs: 1) a spectral model to preserve spectral characteristics of the enlarged CFA image and 2) an adaptive edge-sensing mechanism capable of tracking the underlying structural content of the Bayer data. The framework readably unifies numerous solutions which differ in design characteristics, computational efficiency, and performance. Simulation studies indicate that the new zooming approach produces sharp, visually pleasing outputs and it yields excellent performance, in terms of both subjective and objective image quality measures.