Fully pipelined and hardware efficient architecture to improve peak signal to noise ratio for real-time demosaicking

Demosaicking is used in real-time digital camera system. Digital camera captures images in the form of red, green and blue colors in a particular mosaic pattern by monochromatic detectors. So each pixel captures onlya single color among red, green and blue colors in the form of Bayer pattern. Demosaicking is the process of findingthe two unknown colors among red, green and blue colors of each pixel. Malver-He-Cutler demosaicking algorithm uses a linear interpolation demosaicking method to find the unknown colors and it is widely used in digital cameras for demosaicking. In this paper, a new algorithm is proposed to obtain thetwo unknown colors of each pixel and compared withthat of the existing Malver-He-Cutler demosaicking algorithm. To compare these two algorithms, MATLAB and MATLAB Simulink Model using System Generator Blocks are used. Fromthe experiment performed using the imagesof SIPI database, the new algorithm yields better performance than the existing Malver-He-Cutler algorithm. To implement any design some hardware circuitry is used in real life. That hardware circuit should use less number of hardware units to save power and chip area. This new demosaicking design is implemented by using hardware sharing to reduce the number of multipliers and adders.