Bayer Demosaicing and White Balance Algorithms

I have developed MATLAB implementations for Bayer demosaicing and white balance algorithms. These algorithms include bilinear interpolation, edge-directed interpolation, and the White Patch auto white balance method, all designed to enhance image quality and color accuracy. The bilinear interpolation algorithm calculates missing pixel values by performing weighted averaging of adjacent pixels, typically using 2x2 pixel neighborhoods to produce smoother images with reduced artifacts. The edge-directed interpolation algorithm improves interpolation precision by detecting image edges through gradient analysis and adapting the interpolation direction accordingly, preserving sharp details while minimizing color aliasing. The White Patch auto white balance algorithm corrects image color temperature by identifying the brightest neutral patch in the scene and scaling color channels to achieve proper white balance, making colors appear more natural and accurate. Through these algorithmic implementations, we can achieve superior image processing results with optimized color reproduction and detail preservation.