Regularization approaches to demosaicking
IEEE Transactions on Image Processing
Color filter array design using random patterns with blue noise chromatic spectra
Image and Vision Computing
A new color filter array with optimal sensing properties
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Joint demosaicking and denoising with space-varying filters
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A new random color filter array with good spectral properties
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A generic variational approach for demosaicking from an arbitrary color filter array
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Designing color filter arrays for the joint capture of visible and near-infrared images
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Generalized assorted pixel camera: postcapture control of resolution, dynamic range, and spectrum
IEEE Transactions on Image Processing
Selection of optimal spectral sensitivity functions for color filter arrays
IEEE Transactions on Image Processing
Switchable primaries using shiftable layers of color filter arrays
ACM SIGGRAPH 2011 papers
Color image demosaicking: An overview
Image Communication
Computational plenoptic imaging
ACM SIGGRAPH 2012 Courses
Improving image acquisition: a fish-inspired solution
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
Universal intra coding for arbitrary RGB color filter arrays in HEVC
Journal of Visual Communication and Image Representation
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In digital imaging applications, data are typically obtained via a spatial subsampling procedure implemented as a color filter array - a physical construction whereby only a single color value is measured at each pixel location. Owing to the growing ubiquity of color imaging and display devices, much recent work has focused on the implications of such arrays for subsequent digital processing, including in particular the canonical demosaicking task of reconstructing a full color image from spatially subsampled and incomplete color data acquired under a particular choice of array pattern. In contrast to the majority of the demosaicking literature, we consider here the problem of color filter array design and its implications for spatial reconstruction quality. We pose this problem formally as one of simultaneously maximizing the spectral radii of luminance and chrominance channels subject to perfect reconstruction, and - after proving sub-optimality of a wide class of existing array patterns - provide a constructive method for its solution that yields robust, new panchromatic designs implementable as subtractive colors. Empirical evaluations on multiple color image test sets support our theoretical results, and indicate the potential of these patterns to increase spatial resolution for fixed sensor size, and to contribute to improved reconstruction fidelity as well as significantly reduced hardware complexity.