Traditional Harmonization Methods
Histogram Matching
CG2Real: Improving the Realism of Computer Generated Images Using a Large Collection of Photographs
use co-segmentation to segment and match regions in a single step .the content of all images is taken into account during co-segmentation and matching regions are automatically produced as a byproduct of [1]
[1] Cosegmentation of Image Pairs by Histogram Matching- Incorporating a Global Constraint into MRFs
mean-shift framework [2]
[2] The Estimation of the Gradient of a Density Function, with Applications in Pattern Recognition
- feature vector: concatenation of the pixel color in L a b* space, the normalized x and y coordinates at p, and a binary indicator vector (i0; . . . ; ik) such that ij is 1 when pixel p is in the jth image and 0 otherwise
- a combination of joint-bilateral up-sampling and local color transfer
related topics
- alpha matting: Fuse image by combining their absolute pixel values. The color of the image are linearly interpolated using weights specified by the alpha matte.
- gradient domain compositing
- image blending
- Poisson blending
- image pyramids
- Laplacian pyramids