This system presents a fully pipelined color demosaicking design. To improve the quality of reconstructed images, a linear deviation compensation scheme was created to increase the correlation between the interpolated and neighboring pixels. Furthermore, immediately interpolated green color pixels are first to be used in hardware-oriented color demosaicking algorithms, which efficiently promoted the quality of the reconstructed image. A boundary detector and boundary mirror machine were added to improve the quality of pixels located in boundaries. In addition, a hardware sharing technique was used to reduce the hardware costs of three interpolators. Finally these are implemented and get the simulated result is compared to the previous architecture. The code are simulated and power, area, cost are taken using Xilinx 14.2 software and MATLAB. Compared with the previous low complexity designs, this work has the benefits in terms of low cost, low power consumption, and high performance.
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The proposed color demosaicking algorithm consists of a novel linear deviation compensation, immediately interpolated green color information, boundary detection, and boundary mirror models. The boundary detector and mirror models were added to detect the boundary information and provide mirror pixels for green and red -blue color interpolations, which can efficiently improve the quality of interpolated pixels located in boundary. In addition, the linear deviation compensation and immediately interpolated green color pixels G’ are used to improve the quality of the interpolated red and blue color pixels.
Here we are re-modified the Hardware sharing architecture with carry skip adder, for hardware complexity.
