—In this paper a region-adaptive demosaicking algorithm with low computational complexity for single-sensor digital cameras is proposed. The proposed algorithm firstly divides the input image into two kinds of regions and then adopts different interpolation methods for each type. The proposed interpolation method makes full use of bilinear’s fast execution speeds in the smooth region. And it d...

In this paper, we propose a demosaicking method that uses a correlation between the wavelet subband coefficients in the high frequency region of color channels (R, G and B). In this paper, we introduce the pre-existing demosaicking methods, and show that our proposed method yields an outstanding performance through in imitation tests compared to pre-existing methods in terms of objective perfor...

A single-chip image sensor used in almost all consumer and in some professional-grade digital cameras today is affixed with an alternating pattern of spectrally shifted (in the electromagnetic wavelength sense) color filters to each pixel location. The arrangement of color filters, which are typically the canonical color triples (i.e. red, green, blue), is called color filter array (or CFA) [1,...

Camera producers try to increase the spatial resolution of a camera by reducing size of sites on sensor array. However, shot noise causes the signal to noise ratio drop as sensor sites get smaller. This fact motivates resolution enhancement to be performed through software. Super resolution (SR) image reconstruction aims to combine degraded images of a scene in order to form an image which has ...

Digital color cameras sample the continuous color spectrum using three or more filters; however, each pixel represents a sample of only one of the color bands. This arrangement is called a mosaic. To produce a full-resolution color image, the recorded image must be processed to estimate the values of the pixels for all the other color bands. This restoration process is often called demosaicking...

Most digital color cameras sample only one color at each spatial location, using a single sensor coupled with a color filter array (CFA). An interpolation step called demosaicing (or demosaicking) is required for rendering a color image from the acquired CFA image. Already proposed Linear Minimum Mean Square Error (LMMSE) demosaicing provides a good tradeoff between quality and computational co...

Denoising is an indispensable function for digital cameras. In respect that noise is diffused during the demosaicking, the denoising ought to work directly on bayer data. The difficulty of denoising on bayer image is the interlaced mosaic pattern of red, green, and blue. Guided filter is a novel time efficient explicit filter kernel which can incorporate additional information from the guidance...

Digital cameras record only one color component per pixel, red, green or blue. Demosaicking is the process by which one can infer a whole color matrix from such a matrix of values, thus interpolating the two missing color values per pixel. The selected color configuration of the sensor usually follows the Bayer color filter array, CFA. Out of a group of four pixels, two are green (in quincunx),...

Most digital cameras employ a spatial subsampling process, implemented as a color filter array (CFA), to capture color images. The choice of CFA patterns has a great impact on the performance of subsequent reconstruction (demosaicking) algorithms. In this work, we propose a quantitative theory for optimal CFA design. We view the CFA sampling process as an encoding (low-dimensional approximation...