Abstract
Title : Image Retouching Using Wavelet Maxima
Author : Jacques Froment
We introduce a process to easily retouch digital images.
Image retouching is a quite common practice for press or art publisher.
It usually requires a time expensive work on graphics computer, where
the operator has to manually change a large number of pixels.
One of the complexity of the work comes from artifacts which may appear,
leading to a reject of the picture as clearly touched up.
Multiscale analysis and synthesis provide a way for retouching
images without artifacts, by mixing the coefficients in the transform
domain. Examples of humain parts as an eye put into an object,
using the Laplacian pyramid, have been shown in the past.
Such image fusion process has been used more recently
to combine images from different sensors.
But the problem of working with a large number of coefficients still
remains.
If we are interesting about form retouching, such as the nose shape of
an actress, the operator should have only to redraw the edge of the nose.
We are seeking an algorithm able to reconstruct a whole image with
natural appearance, by stating only some slight geometric changes in the
edges.
Mallat and Zhong have shown that multiscale edges can be detected and
characterized with a wavelet transform. In this article, we show how
this multiscale representation can be used to retouch images by working
on edges only.