Image Congealing (IC) is a non-parametric method for the joint alignment of a col- lection of images affected by systematic and unwanted deformations. The method attempts to undo the deformations by minimizing a measure of complexity of the image ensemble, such as the averaged per-pixel entropy. This enables alignment without an explicit model of the aligned dataset as required by other methods (e.g. While IC is simple and general, it may intro- duce degenerate solutions when the transformations allow minimizing the com- plexity of the data by collapsing them to a constant. Such solutions need to be explicitly removed by regularization.

Image Congealing (IC) is a nonparametric method for the joint alignment of a collection of images affected by systematic and unwanted deformations. The method attempts to undo the deformations by minimizing a measure of complexity of the image ensemble, such as the averaged per-pixel entropy. This enables alignment without an explicit model of the aligned dataset as required by other methods (e.g.

Image Congealing (IC) is a nonparametric method for the joint alignment of a collection of images affected by systematic and unwanted deformations. The method attempts to undo the deformations by minimizing a measure of complexity of the image ensemble, such as the averaged per-pixel entropy. This enables alignment without an explicit model of the aligned dataset as required by other methods (e.g.

Image Congealing (1C) is a nonparametric method for the joint alignment of a collection of images affected by systematic and unwanted deformations.