A Relative Study on Image Blending

Image blending is a process of creating a set of discrete samples of a continuous, one-parameter family of images that links a pair of input images. Image blending has uses in a variety of computer graphics, cartoons and image processing applications. Image blending is to paste a source patch onto a objective image, which has received considerable attention. While gradient-domain blending is dominant. Experiments show that our blending fallouts are visually comparable to gradient-domain methods while possessing real-time performance. This method is applied for image stitching and object elimination. The key contribution of this survey work is studying how applying color and luminance compensation before Poisson blending improves the blending quality and processing speed of Poisson blending in long image sequences where colors and luminance contrast amongst source images, and also improves the quality of image labeling. Index Terms – Face swapping; multi-scale disintegration; image