This paper presents a color demosaicing method applied to the Bayer pattern color filter array (CFA). Reliable estimation of an edge direction, edge-directed asymmetric interpolation, and the use of color samples at immediate neighbors are considered as the key guidelines for smooth and sharp image restoration. Also, special interest is directed to local areas that are rich in high spatial freq...

Single-chip digital cameras use an array of broadspectrum Charge-Coupled Devices (CCD) overlayed with a colour filter array. The filter layer consists of transparent patches of red, green and blue, such that each CCD pixel captures one of these primary colours. To reconstruct a colour image at the full CCD resolution, the ‘missing’ primary values have to be interpolated from nearby samples. We ...

This paper presents a color demosaicing method by introducing iterative asymmetric average interpolation. Missing primary colors on a Bayer pattern color filter array (CFA) are estimated by an asymmetric average interpolation where less intensity variation is assumed to be of stronger significance, before sharpness of an initial estimate is further improved by an iterative procedure. The iterat...

We propose a method to synthetically create or restore typical color filter array (CFA) pattern in digital images. This can be useful, inter alia, to conceal traces of manipulation from forensic techniques that analyze the CFA structure of images. For continuous signals, our solution maintains optimal image quality, using a quadratic cost function; and it can be computed efficiently. Our genera...

Covering sensor surface with a Color Filter Array (CFA) and enabling a sensor pixel sample only one of three primary color values, is how single sensor digital cameras capture imagery. An interpolation process, called CFA demosaicking estimates other two missing color values at every pixel to render a full color image. This study presents two contributions to CFA demosaicking: a new and improve...

Note: This MBD toolbox performs only multichannel blind deconvolution. In order to obtain a full version that includes superresolution please contact the authors of the toolbox. However, one step towards superresolution is included and this is demosaicing of color images in Bayer pattern. Imaging plays a key role in many diverse application areas, such as astronomy, remote sensing, microscopy o...

In this paper, we propose a reversible color transform (RCT) for color images acquired through a Bayer pattern color filter array. One existing RCT with fixed coefficients is simple to implement. However, it is not adaptive to each of input images. Another existing RCT based on eigenvector of covariance matrix of color components, which is equivalent to Karhunen–Loève transform (KLT), is adapti...