[Solved] Image noise removal is part of image enhancement or image restoration? [closed]

Question

Well there is the wikipedia page http://en.wikipedia.org/wiki/Image_restoration

It says that

Image restoration is the operation of taking a corrupted/noisy image and estimating the clean original image
Image enhancement […] is designed to emphasize features of the image that make the image more pleasing to the observer

The difference between the two is, as explained in the dsp.stackexchange description you cite:

Noise removal for image restoration assumes that there is an underlying ‘ground truth’ image, and that your noise removal operation takes the image closer to the ground truth. As an example you can use de-noising on a photograph taken in bad lighting conditions to make the picture more similar to a better picture of the same scene.
Noise removal for image enhancement is not meant to approximate a ground truth image, but to highlight features (usually for display purposes). An example is the ‘airbrushing’ of photographs.

To complicate matters more, image restoration and image enhancement are not necessarily mutually exclusive (e.g., when the ground truth image is more ‘visually pleasing’ than the noisy image.

Accepted Answer

Well there is the wikipedia page http://en.wikipedia.org/wiki/Image_restoration

It says that

Image restoration is the operation of taking a corrupted/noisy image and estimating the clean original image
Image enhancement […] is designed to emphasize features of the image that make the image more pleasing to the observer

The difference between the two is, as explained in the dsp.stackexchange description you cite:

Noise removal for image restoration assumes that there is an underlying ‘ground truth’ image, and that your noise removal operation takes the image closer to the ground truth. As an example you can use de-noising on a photograph taken in bad lighting conditions to make the picture more similar to a better picture of the same scene.
Noise removal for image enhancement is not meant to approximate a ground truth image, but to highlight features (usually for display purposes). An example is the ‘airbrushing’ of photographs.

To complicate matters more, image restoration and image enhancement are not necessarily mutually exclusive (e.g., when the ground truth image is more ‘visually pleasing’ than the noisy image.