Poisson convergence in a sense solved the problem of image fusion, but it only considers the integration of image gradient in the integration process, but not the use of a background image gradient, therefore, the use of the Poisson integration process, the need for more accurate marker into the area, otherwise, it will result in the loss of background texture, image integration can clearly perceive the visual traces. Therefore, the formula slightly modified, in considering the prospect of taking into account the changes in the background, you can get better results.

code
....\alignSource.m
....\color2gray.m
....\getMask.m
....\mask2chain.m
....\mixedBlend.m
....\poissonBlend.m
....\proj2_starter.asv
....\proj2_starter.m
....\result
....\......\Blend.jpg
....\......\Blend_Penguin.jpg
....\......\Blend_Rainbow.jpg
....\......\Mixed.jpg
....\......\Mixed_Rainbow.jpg
....\......\New Toy.png
....\......\New.jpg
....\......\New1.jpg
....\......\Old.jpg
....\......\old1.jpg
....\......\Original Toy.png
....\......\Plusm_Rainbow.jpg
....\......\Plus_Penguin.jpg
....\......\Plus_Rainbow.jpg
....\......\untitled.jpg
....\......\untitled0.jpg
....\......\untitled1.jpg
....\......\untitled2.jpg
....\samples
....\.......\colorBlindTest35.png
....\.......\im2.JPG
....\.......\im3.jpg
....\.......\penguin-chick.jpeg
....\.......\penguin.jpg
....\.......\Rainbow.jpg
....\.......\Sky.jpg
....\.......\Text - 1.jpg
....\.......\Texture.jpg
....\.......\toy_problem.png
....\toy_reconstruct.m
....\untitled.fig

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