A new algorithm is proposed for removing large objects from

digital images. The challenge is to fill in the hole that is left behind in a

visually plausible way.

In the past, this problem has been addressed by two classes of algorithms:

(i) “texture synthesis” algorithms for generating large image regions

sample textures, and (ii) “inpainting” techniques for filling in

small image gaps. The former has been demonstrated for “textures” – repeating

two-dimensional patterns with some stochasticity the latter focus

on linear “structures” which can be thought of as one-dimensional patterns,

such as lines and object contours.-A new algorithm is proposed for removing large objects from

digital images. The challenge is to fill in the hole that is left behind in a

visually plausible way.

In the past, this problem has been addressed by two classes of algorithms:

(i) “texture synthesis” algorithms for generating large image regions

sample textures, and (ii) “inpainting” techniques for filling in

small image gaps. The former has been demonstrated for “textures” – repeating

two-dimensional patterns with some stochasticity　the latter focus

on linear “structures” which can be thought of as one-dimensional patterns,

such as lines and object contours.