Image composition optimization based on feature match and detail preserved

Poisson composition and gradient domain are typical and traditional composition technologies. Their main function is to create a seamless composited image. However, when the original image and the target image have quite a few differences with regard to their features (color, sharpness, noise, texture and so on), the composited image is unrealistic. We use some innovative methods to deal with the problem and there are three main stages considered in the paper. The first stage is to deal with the original image's color ahead of schedule. This is to make the original image as similar as the target image and it contributes to get a realistic composited image. The second stage is to achieve the image's multi-scale composition with wavelet pyramid. The third stage is that we use BLF filter and an image pyramid to preserve the composited image's detail after the image composition. Image composition's optimization is based on the three stages.