Abstract
ABSTRACT In an electronic color-imaging device, such as a digital camera, using a single CCD (Charge Coupled Device) sensor, the color information is usually acquired in sub-sampled patterns of Red (R), Green (G) and Blue (B) pixels. The methodology to recover or interpolate the missing color components is known as color demosaicing, a type of image interpolation. This paper introduces and compares some of the most popularly demosaicing algorithms of adaptive type applied on true color images. Another comparison is done between these methods and the non-adaptive traditional methods. Also, a new method is invented, which depends on both types. The used images are of Bitmap type. Signal to noise ratio measure is used as an objective quality metric. The results of comparison are presented with some sampled images. Programming has been applied using Visual C++ 6.0 programming language.
