In order to improve the quality of dem osaicked images and reduce the complexity of its hardware design,an improved Bay er-p attern demosaicking method is presented.Firstly,the second-order Laplacian inte rpolation filter is adopted to interpolate the missing green samples  H and V at red and blue pixels.And then,in every red or blue location,we calculate the horizontal chrominance values R－ H,B－H and vertical ones R－V,B－ V.Next,we calculate and compare the horizontal chromi nance gr adient and the vertical one for choosing the missing .After the green channel has been re constructed,we interpola te and as the average of the four nearest neighbors.By now,the full color image is reconstructed.Experimental resu lts prove that on average the improvement is 15dB over the bilinear algorithm (BI) in peak signal-to-noise ratio (PSNR) and it appears to produce visually more pleasant color image details with color artifacts greatly suppressed.Furthermore,the comp utational cost of the proposed algorithm is as simple as the linear algorithm,so the interpolation can be hardw are processed in real time.Now,the proposed algorithm is implemented with Xilinx FPGA and used in our camera system ,and the perfect restoration quality and effectiveness can meet the requirement of system design.