ABSTRACT
Noise is among the worst artifacts that affect the perceptual quality of the output from a digital camera (see Chapter 1). While cost-effective and popular, single-sensor solutions to camera architectures are not adept at noise suppression. In this scheme, data are typically obtained via a spatial subsampling procedure implemented as a color filter array (CFA), a physical construction whereby each pixel location measures the intensity of the light corresponding to only a single color [1], [2], [3], [4], [5]. Aside from undersampling, observations made under noisy conditions typically deteriorate the estimates of the fullcolor image in the reconstruction process commonly referred to as demosaicking or CFA interpolation in the literature [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16]. A typical CFA scheme involves the canonical color triples (i.e., red, green, blue), and the most prevalent arrangement called Bayer pattern is shown in Figure 9.1b.
