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:

patches : array, 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_size : tuple of ints (image_height, image_width) or (image_height, image_width, n_channels) the size of the image that will be reconstructed

Returns:

image : array, shape = image_size the reconstructed image

Examples using sklearn.feature_extraction.image.reconstruct_from_patches_2d

Image denoising using dictionary learning