# sklearn.feature_extraction.image.reconstruct_from_patches_2d¶

sklearn.feature_extraction.image.reconstruct_from_patches_2d(patches, image_size)[source]

Reconstruct the image from all of its patches.

Patches are assumed to overlap and the image is constructed by filling in the patches from left to right, top to bottom, averaging the overlapping regions.

Read more in the User Guide.

Parameters:
patchesndarray of shape (n_patches, patch_height, patch_width) or (n_patches, patch_height, patch_width, n_channels)

The complete set of patches. If the patches contain colour information, channels are indexed along the last dimension: RGB patches would have n_channels=3.

image_sizetuple of int (image_height, image_width) or (image_height, image_width, n_channels)

The size of the image that will be reconstructed.

Returns:
imagendarray of shape image_size

The reconstructed image.

## Examples using sklearn.feature_extraction.image.reconstruct_from_patches_2d¶

Image denoising using dictionary learning

Image denoising using dictionary learning