Mastering Computer Vision with TensorFlow 2.x

Using a Bayer filter for color pattern formation

A Bayer filter transforms a raw image into a natural, color-processed image by applying a demosaic algorithm. The image sensor consists of photodiodes, which produce electrically charged photons proportional to the brightness of the light. The photodiodes are grayscale in nature. Bayer filters are used to convert the grayscale image to color. The color image from the Bayer filter goes through an Image Signal Processing (ISP) which involves several weeks of manual adjustment of various parameters to produce desired image quality for human vision. Several research work are currently ongoing to convert the manual ISP to a CNN based processing to produce an image and then merge the CNN with image ...